وظائف مطورين بايثون في قطر

<h2 class="h5">وصف العمل</h2> <div class="t-break" data-jb-field="description"> <span>تبحث Mindrift عن مهندسي استخراج بيانات بايثون المهرة للانضمام إلى مشروع Tendem ودفع سير عمل استخراج البيانات المتخصصة ضمن نظامنا الهجين بين الذكاء الاصطناعي والبشر.<br> في هذا الدور، كطيار ذكاء اصطناعي – هكذا نُشير إلى هذا الدور في Mindrift – ستتعاون مع وكلاء Tendem الذين يتعاملون مع المهام المتكررة، بينما تقدم التفكير النقدي، وخبرة المجال، ومراقبة الجودة لتسليم نتائج دقيقة وقابلة للتنفيذ.<br> هذه الفرصة بدوام جزئي عن بُعد مناسبة للمهندسين الفنيين الذين لديهم خبرة عملية في استخراج الويب، واستخراج البيانات ومعالجتها.<br> ماذا نفعل؟ تربط منصة Mindrift المتخصصين بمشاريع الذكاء الاصطناعي من كبار مبتكري التقنية.<br> هدفنا هو إطلاق العنان لإمكانات الذكاء الاصطناعي التوليدي من خلال الاستفادة من الخبرة الواقعية من جميع أنحاء العالم.<br> عن الدور هذه وظيفة مستقلة لمشروع Tendem.<br> كمهندس استخراج بيانات بايثون، ستتعامل مع مهام استخراج البيانات التي تتطلب دقة تقنية لاستخراج الويب ومعالجته، مستنداً إلى أدوات مختلفة مثل Apify المفتودة منّا وOpenRouter إلى جانب أساليبك الموردّة لديك.<br> المسؤوليات الرئيسية امتلاك تدفقات استخراج البيانات من البداية إلى النهاية عبر مواقع معقدة، مع ضمان التغطية الكاملة والدقة وتسليم مجموعات البيانات المنظمة بشكل موثوق.<br> استغلال الأدوات الداخلية (Apify، OpenRouter) إلى جانب تدفقات العمل المخصصة لتسريع جمع البيانات، والتحقق منها، وتنفيذ المهام مع الالتزام بالمتطلبات المحددة.<br> ضمان استخراج موثوق من مصادر ويب ديناميكية وتفاعلية، مع تكييف الأساليب عند الحاجة للتعامل مع المحتوى المعروض عبر JavaScript وتغير سلوك الموقع.<br> تطبيق معايير جودة البيانات من خلال فحوصات التحقق، وضوابط الاتساق عبر المصادر، والالتزام بمواصفات التنسيق، والتحقق المنهجي قبل التسليم.<br> توسيع عمليات الاستخراج لبيانات كبيرة باستخدام الدُفعات الفعّالة أو التقسيم المتوازي، ورصد الإخفاقات، والحفاظ على الاستقرار أمام تغيّرات بسيطة في هيكل الموقع.<br> التعويض: يمكن للمساهمين في هذا المشروع أن يكسبوا حتى 37 دولارًا في الساعة كمعادل، اعتمادًا على مستواهم وسرعتهم في المساهمة.<br> يختلف التعويض عبر المشاريع اعتمادًا على النطاق والتعقيد والخبرة المطلوبة.<br> يرجى ملاحظة أن مشاريع أخرى على المنصة قد تقدم مستويات كسب مختلفة وفقًا لمتطلباتها.<br> كيفية البدء: قدِّم طلبًا لهذا المنشور، وتأهّل، واحصل على الفرصة للمساهمة في المشاريع التي تتطابق مع مهاراتك الفنية وفق جدولك الخاص.<br> بدءًا من الترميز والأتمتة إلى ضبط مخرجات الذكاء الاصطناعي بدقة، ستلعب دورًا رئيسيًا في تعزيز قدرات الذكاء الاصطناعي وتطبيقاته الواقعية.<br> لماذا قد تكون هذه الفرصة الحرة مناسبة لك؟<br> العمل عن بُعد تمامًا وفق جدولك الخاص مع مجرد حاسوب محمول واتصال إنترنت مستقر.<br> اكتساب خبرة عملية في بيئة هجينة فريدة حيث يتعاون الخبرة البشرية ووكلاء الذكاء الاصطناعي بسلاسة — مجموعة مهارات مميزة في مجال سريع النمو.<br> المشاركة في برامج مكافآت قائمة على الأداء التي تكافئ العمل عالي الجودة والتسليم المتسق.<br> خبرة لا تقل عن 3 سنوات في هندسة البيانات، وبالويب سكريبينغ، والأتمتة، أو تطوير البرمجيات (مطلوب).<br> درجة البكالوريوس أو الماجستير في الهندسة، الرياضيات التطبيقية، علوم الكمبيوتر، أو مجالات تقنية ذات صلة تعد ميزة.<br> خبرة قوية في استخراج البيانات بواسطة بايثون (BeautifulSoup، Selenium، أو ما يماثله)، بما في ذلك المحتوى الديناميكي (JS، AJAX، التمرير اللانهائي) وواجهات برمجة التطبيقات عبر البروكسيات.<br> قدرة مثبتة على استخراج البيانات من الهياكل المعقدة (التسلسلات، الصفحات المؤرشفة، HTML غير متسق).<br> خلفية صلبة في تنظيف البيانات، التطبيع، والتحقق، وتقديم مجموعات بيانات منظمة (CSV، JSON، جداول Google Sheets).<br> خبرة عملية مع نماذج اللغة الكبيرة وأطر العمل الذكية لتعزيز الأتمتة وحل المشكلات.<br> اهتمام قوي بالتفاصيل والتزام بدقة البيانات.<br> أخلاقيات عمل ذاتي التوجيه مع القدرة على استكشاف الأخطاء بشكل مستقل.<br> وجود رابط لGitHub ميزة إضافية.<br> إجادة اللغة الإنجليزية: مستوى أعلى من المتوسط (B2) أو أعلى (مطلوب).<br></span> </div>

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> <span>تبحث Mindrift عن مهندسين مركزيين ذوي مهارات عالية في استخراج البيانات باستخدام بايثون للانضمام إلى مشروع Tendem وتوجيه تدفقات عمل استخراج البيانات المتخصصة ضمن نظامنا الهجين للذكاء الاصطناعي والبشر. <br> في هذا الدور، كطيّار ذكاء اصطناعي – هكذا نُشير إلى هذا الدور في Mindrift – ستتعاون مع وكلاء Tendem الذين يتولون المهام المتكررة، بينما تقدم التفكير النقدي، والخبرة الميدانية، ومراقبة الجودة لتقديم نتائج دقيقة وقابلة للإ行动. <br> هذه الفرصة بدوام جزئي عن بُعد مثالية للمهنيين التقنيين ذوي الخبرة العملية في استخراج الويب، واستخراج البيانات ومعالجتها. <br> ماذا نفعل: منصة Mindrift تربط المتخصصين بمشروعات الذكاء الاصطناعي من أبرز مبتكري التكنولوجيا. <br> مهمتنا هي فتح潜力 الذكاء الاصطناعي التوليدي من خلال الاستفادة من الخبرة الواقعية من جميع أنحاء العالم. <br> هذا دور مستقل لمشروع Tendem. <br> كمهندس كبير لاستخراج البيانات باستخدام بايثون، ستتعامل مع مهام استخراج البيانات التي تتطلب دقة تقنية لاستخراج ومعالجة الويب، باستخدام أدوات متنوعة مثل Apify وOpenRouter التي نوفرها إلى جانب نهجك الإبداعي الخاص. <br> المسؤوليات الأساسية: امتلاك تدفقات عمل استخراج البيانات من البداية إلى النهاية عبر مواقع ويب معقدة، لضمان التغطية الكاملة والدقة وتسليم مجموعات البيانات المهيكلة بشكل موثوق. <br> الاستفادة من الأدوات الداخلية (Apify، OpenRouter) إلى جانب سير عمل مخصص لتسريع جمع البيانات والتحقق وتنفيذ المهام مع الالتزام بالمتطلبات المحددة. <br> ضمان استخراج موثوق من مصادر ويب ديناميكية وتفاعلية، مع التكيّف مع الأساليب حسب الحاجة لمعالجة المحتوى المولّد بجافا سكريبت وسلوك المواقع المتغير. <br> فرض معايير جودة البيانات من خلال فحوصات التحقق، وضوابط الاتساق بين المصادر، والالتزام بمواصفات التنسيق، والتحقق المنهجي قبل التسليم. <br> توسيع عمليات الاستخراج لبيانات كبيرة باستخدام دفعات فعالة أو توازي، مراقبة الإخفاقات، والحفاظ على الاستقرار أمام تغيّرات طفيفة في بنية الموقع. <br> المتطلبات: خبرة لا تقل عن 5+ سنوات في هندسة البيانات، استخراج الويب، الأتمتة، أو تطوير البرمجيات (مطلوب).<br> درجة البكالوريوس أو الماجستير في الهندسة، الرياضيات التطبيقية، علوم الكمبيوتر، أو المجالات التقنية ذات الصلة تعتبر ميزة. <br> يجب أن يمتلك المرشحون أساساً تقنياً قوياً وخبرة عملية في البرمجة النصية، الأتمتة، وسير العمل بمساعدة الذكاء الاصطناعي. <br> نحن نبحث عن متخصصين قادرين على حل المشكلات غير البسيطة، والعمل بثقة مع نماذات اللغة الكبيرة، وجمع البيانات من مصادر متنوعة، وتنظيمها والتحقق منها بشكل منهجي. <br> نهج منهجي ومفصل والقدرة على العمل بشكل مستقل ضروريان. <br> خبرة قوية في استخراج الويب باستخدام بايثون (BeautifulSoup، Selenium أو ما شابه)، بما في ذلك المحتوى الديناميكي (JS، AJAX، التمرير اللانهائي) وواجهات برمجة التطبيقات عبر البروكسيات. قدرة مثبتة على استخراج البيانات من هياكل معقدة (التراكيب، الصفحات المؤرشفة، HTML غير المتسق). خلفية صلبة في تنظيف البيانات، التطبيع، والتحقق، وتقديم مجموعات بيانات مهيكلة (CSV، JSON، Google Sheets). خبرة مثبتة في التعامل مع آليات مضادة للأ bots وهياكل المواقع الديناميكية على نطاق واسع. خبرة مع بنية السحابة (AWS أو ما يعادلها) وتكوين الحاويات (Docker) كجزء من سير عمل حقيقي. خبرة عملية مع أطر LangChain، OpenRouter، أو ما شابهها مطبقة في مهام الأتمتة. انتباه قوي للتفاصيل والتزام بدقة البيانات. أخلاقيات عمل ذاتية التوجيه مع القدرة على استكشاف المشاكل بشكل مستقل. وجود رابط إلى GitHub ميزة. الكفاءة الإنجليزية: مستوى فوق المتوسط (B2) أو أعلى (مطلوب). توقعات الوقت للمشروع: بالنسبة لهذا المشروع، تُقدَّر المهام بحوالي 10–20 ساعة في الأسبوع خلال المراحل النشطة، وفقاً لمتطلبات المشروع. <br> هذه تقديرات وليست عبء عمل مضمون، وتطبق فقط أثناء نشاط المشروع. <br> التعويض: في هذا المشروع، يمكن للمساهمين كسب حتى 37 دولار في الساعة وفقاً لمستوى المساهمة وسرعتها. <br> يتفاوت التعويض عبر المشاريع اعتماداً على النطاق والتعقيد والخبرة المطلوبة. <br> يرجى ملاحظة أن مشاريع أخرى على المنصة قد تقدم مستويات كسب مختلفةBased على متطلباتها. <br></span> </div>

<h2 class="h5">وصف العمل</h2> <div class="t-break" data-jb-field="description"> <span>تبحث Mindrift عن مهندسين متمرسين للغاية في استخراج البيانات باستخدام بايثون للعمل كـ Senior Python Data Scraping Engineers للانضمام إلى مشروع Tendem وتوجيه سير عمل استخراج البيانات المتخصصة ضمن نظامنا الهجين بين الذكاء الاصطناعي والبشر. <br> في هذا الدور، كـ AI Pilot – هكذا نُطلق على هذا المنصب في Mindrift – ستتعاون مع وكلاء Tendem الذين يتولون المهام المتكررة، بينما تقدّم التفكير النقدي، وخبرة المجال، ومراقبة الجودة لتقديم نتائج دقيقة وقابلة للإجراء. <br> هذه الفرصة بدوام جزئي عن بُعد مثالية للمحترفين التقنيين الذين يمتلكون خبرة عملية في استخراج البيانات من الويب، واستخراجها ومعالجتها. <br> ما نفعله: تربط منصة Mindrift المتخصصين بمشروعات الذكاء الاصطناعي من كبار المبدعين في التقنية. <br> مهمتنا هي فتح إمكانات الذكاء الاصطناعي التوليدي من خلال الاستفادة من خبرة العالم الحقيقي من جميع أنحاء العالم. <br> هذا دور عمل مستقل لمشروع Tendem. <br> كـ Senior Python Data Scraping Engineer، ستتعامل مع مهام استخراج البيانات التي تتطلب دقة تقنية لاستخراج ومعالجة البيانات، باستخدام أدوات مثل Apify وOpenRouter المقدمين بجانب أساليبك المبتكرة الخاصة. <br> المسؤوليات الرئيسية: امتلاك سير عمل استخراج البيانات من البداية إلى النهاية عبر مواقع ويب معقدة، وضمان التغطية الكاملة والدقة والتسليم الموثوق لمجموعات البيانات المنظمة. <br> الاستفادة من الأدوات الداخلية (Apify، OpenRouter) إلى جانب سير عمل مخصص لتسريع جمع البيانات والتحقق منها وتنفيذ المهام مع الالتزام بالمتطلبات المحددة. <br> ضمان استخراج موثوق من مصادر ويب ديناميكية وتفاعلية، وتكييف الأساليب عند الحاجة للتعامل مع المحتوى الذي يعرضه JavaScript وتغير سلوك الموقع. <br> فرض معايير جودة البيانات من خلال فحص التحقق، وضوابط التوافق عبر المصادر، والالتزام بمواصفات التنسيق، والتحقق المنهجي قبل التسليم. <br> توسيع عمليات السحب لبيانات كبيرة باستخدام تعبئة فعالة أو توازي، ومراقبة الفشل، والحفاظ على الاستقرار أمام تغييرات بسيطة في بنية الموقع. <br> المتطلبات: خبرة لا تقل عن 5+ سنوات ذات صلة في هندسة البيانات، أو استخراج البيانات من الويب، أو الأتمتة، أو تطوير البرمجيات (مطلوب). <br> درجة البكالوريوس أو الماجستير في الهندسة، الرياضيات التطبيقية، علوم الكمبيوتر، أو مجالات تقنية ذات صلة تعتبر ميزة. <br> ينبغي أن يتمتع المرشحون بأساس تقني قوي وخبرة عملية في التهيئة البرمجية، والأتمتة، وتدفقات العمل بمساعدة الذكاء الاصطناعي. <br> نحن نبحث عن متخصصين يمكنهم حل المشكلات غير البسيطة، والعمل بثقة مع نماذج اللغة الكبيرة، وجمع البيانات وتنظيمها والتحقق منها من مصادر متعددة بطريقة منهجية. <br> نهج منهجي ومفصل والقدرة على العمل بشكل مستقل أمران أساسيان. <br> خبرة قوية في سحب البيانات بواسطة بايثون (BeautifulSoup، Selenium أو ما يماثلها)، بما في ذلك المحتوى الديناميكي (JS، AJAX، التمرير اللانهائي) وواجهات برمجة التطبيقات عبر البروكسيات، وقدرة مثبتة على استخراج البيانات من هياكل معقدة (التسلسلات، الصفحات المؤرشفة، HTML غير متسق). خلفية صلبة في تنظيف البيانات، التطبيع، والتحقق، وتقديم مجموعات بيانات منظمة (CSV، JSON، جداول Google). خبرة مثبتة في التعامل مع آليات مضاد الروبوت وبُنى المواقع الديناميكية على نطاق واسع. خبرة مع بنى تحتية سحابية (AWS أو ما يعادلها) وتَغْليف الحاويات (Docker) كجزء من سير العمل الحقيقي. خبرة عملية مع أطر LLM (LangChain، OpenRouter، أو ما يماثلها) مطبقة على مهام الأتمتة. اهتمام قوي بالتفاصيل والتزام بدقة البيانات. أخلاقيات عمل ذاتية التوجيه مع القدرة على استكشاف المشاكل بشكل مستقل. رابط GitHub ميزة إضافية. الكفاءة في اللغة الإنجليزية: مستوى متوسط مرتفع (B2) أو أعلى (مطلوب). توقعات الوقت للمشروع: من المتوقع أن تتطلب المهام حوالي 10–20 ساعة أسبوعيًا خلال المراحل النشطة، بناءً على متطلبات المشروع. <br> هذه تقديرات وليست عبء عمل مضمون، وتطبق فقط أثناء نشاط المشروع. <br> التعويض: يمكن للمساهمين كسب ما يصل إلى 37 دولار في الساعة تقريبًا، اعتمادًا على مستوى المساهمة وسرعتها. <br> يختلف التعويض بين المشاريع اعتمادًا على النطاق والتعقيد والخبرة المطلوبة. <br> يرجى ملاحظة أن مشاريع أخرى على المنصة قد تقدم مستويات كسب مختلفة بناءً على متطلباتها. <br></span> </div>

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> <span>يرجى تقديم سيرتك الذاتية باللغة الإنجليزية وتحديد مستوى الكفاءة في اللغة الإنجليزية لديك. <br> Mindrift تربط المتخصصين بفرص الذكاء الاصطناعي القائمة على المشاريع مع شركات تقنية رائدة، مع التركيز على الاختبار والتقييم والتحسين لأنظمة الذكاء الاصطناعي. <br> المشاركة قائمة على المشاريع وليست توظيفًا دائمًا. <br> ما تتضمنه هذه الفرصة: نحن نبني مجموعة بيانات لتقييم وكلاء التكويد بالذكاء الاصطناعي - مدى قدرة النموذج على التعامل مع مهام المطورين الواقعية. <br> ستقوم بإنشاء مهام وتقييمات صارمة ضمن بيئات محاكاة واقعية: بناء بيئات مطور واقعية - شركة افتراضية تحتوي على قاعدة كود وبنية تحتية وسياق (التذاكر، المستندات، المحادثات) التي تشكل تاريخ تطوير يمكن تصديقه تصميم مهام من حالات وسيطة لهذه البيئات - صياغة المطالبة، وتحديد معنى "الم_SOLVED" والتأكد من قابلية حل المهمة بواسطة وكيل AI اكتب اختبارات تتحقق من حلول الوكلاء - اقبل جميع الأساليب الصحيحة ورفض الأساليب الخاطئة، لا تكون صارمًا جدًا ولا متساهلًا جدًا. قم بالتكرار على المهام والاختبارات بناءً على تغذية راجعة QA - راجع حلول الوكلاء، حلل الإخفاقات، وقم بتحسينها حتى تكون التقييم عادلًا وموثوقًا ما هذا ليس: ليس وسم بيانات ليس هندسة المطالبات ليس كتابة كود من الصفر - الوكيل يكتب معظم الكود؛ أنت تقود وتقييم ما نبحث عنه: 8+ سنوات في تطوير البرمجيات مكدس الأساس: بايثون (FastAPI)، جافا سكريبت/تايب سكريبت (ريأكت)، Docker، Postgres، Kafka، Redis خبرة في كتابة الاختبارات (وظيفية، تكامل) proficiency الإنجليزية - B2+. لماذا هذا صعب: النماذج الحدوديّة جيدة بالفعل في الترميز.<br> إنشاء مهمة تتحدى النماذج الأفضل حقًا ليست أمرًا بسيطًا.<br> تحتاج إلى فهم عميق لأين تفشل النماذج وما هي السيناريوهات التي تكشف الفرق بين حل جيد وآخر سيئ.<br> المهام لديها العديد من الحلول الصحيحة - كتابة اختبارات تقبل جميع الحلول الصحيحة وترفض الحلول الخاطئة أصعب من أن تُظن. <br> كيف تعمل العملية: التقديم → اجتياز التأهيل → الانضمام إلى مشروع → إكمال المهام → الدفع. تقدير الجهد: من المتوقع أن تستغرق المهام لهذا المشروع حوالي 30 ساعة لإكمالها، حسب التعقيد.<br> هذه تقديرية وليست متطلبات برنامج زمني؛ اختر متى وكيف تعمل. <br> يجب تقديم المهام قبل الموعد النهائي وتلبية معايير القبول المدرجة ليتم قبولها. <br> التعويض: حتى 200 دولار/ساعة مكافئ، حسب المستوى والسرعة. <br> تُقدَّر المهام بحوالي ~30 ساعة لكل منها؛ يمكنك تحديد جدولك الزمني بنفسك. <br></span> </div>

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> <span>يرجى إرسال سيرتك الذاتية باللغة الإنجليزية وتحديد مستوى إجادتك للغة الإنجليزية.<br> تتصل Mindrift المتخصصين بفرص ذكاء اصطناعي قائمة على المشاريع لشركات تقنية رائدة، مع التركيز على الاختبار والتقييم وتحسين أنظمة الذكاء الاصطناعي.<br> المشاركة قائمة على المشروع، وليست توظيفًا دائمًا.<br> ما تتضمنه هذه الفرصة: عملاء Frontier للبرمجة جيدون بالفعل في اجتياز الاختبارات.<br> نقيس ما إذا كانوا يجتازونها بالطريقة الصحيحة .<br> نحن نبني مجموعة بيانات لتقييم أمان وسلوك وكلاء البرمجة بالذكاء الاصطناعي — ليس فقط ما إذا كانوا أكملوا مهمة ما، بل هل قاموا بها بنزاهة، ضمن النطاق، ودون تقصير في العمل.<br> ستصمم مهام حيث الطريق السهل هو الطريق غير الآمن، وتكتب الاختبارات التي تكشف ذلك: بناء بيئات مطور واقعية — شركة افتراضية مع قاعدة كود وبنية وتواصل (التذاكر، المستندات، المحادثات) التي تشكل تاريخ تطوير مقبول تصميم مهام تربط هدف تطوير آمن ببديل غير آمن مغرٍ: توسيع النطاق، الانتهاكات السياسية، تلف البيانات، التغييرات ذات الامتيازات المفرطة اكتب اختبارات تتحقق مما إذا كان الوكيل قد أنجز المهمة بالطريقة الصحيحة — مع اكتشاف التقصير في الدقة وعدم الاعتماد فقط على المخرجات التكرار في المهام والاختبارات بناءً على تعليقات ضمان الجودة — راجع حلول الوكلاء، تحليل الإخفاقات، وتحسينها حتى تكون التقييمات عادلة وقوية ما هذا ليس: ليس وسم بيانات؛ ليس هندسة مطالبات؛ ليس أمان سيبراني أو اختبار اختراق — لا يوجد مهاجم في السيناريو.<br> خبرة الأمن السيبراني ميزة إضافية لكنها ليست شرطًا.<br> نبحث عن مهندسين يفهمون كيف يجب أن يتصرف الكود، لا باختبار الاختراقات.<br> مهندسون برمجيون أقوياء، ليسوا متخصصين في الأمن؛ ليس كتابة كود من الصفر — الوكيل يكتب معظم الكود؛ أنت تصمم الوضع وتقيّم النتيجة؛ ما نبحث عنه: 4–5+ سنوات في تطوير البرمجيات؛ التكنولوجيا الأساسية: بايثون، جافاسكريبت/تايب سكريبت؛ مهارات تصميم اختبارات قوية — اختبارات وظيفية وتكامل تفصل بين الإنجاز الآمن وغير الآمن، وليس فقط الصحيح من غير الصحيح؛ خبرة عملية مع وكلاء الترميز (Claude Code، GitHub Copilot CLI، Codex، أو ما يشابهها)؛ الإلمام بطلبات سحب GitHub وعمليات CI كمستخدم؛ اتساع الستاك مرحب به، ليس كفلتر.<br> تحاكي المهام مستودعات حقيقية مع قواعد بيانات، خطوط CI، و سكريبتات النشر، لذا فإن التعرض الواسع للبنية الخلفية والبنية التحتية مفيد حقًا — لكن ليس عليك أن تكون خبيرًا في كل طبقة؛ الكفاءة الإنجليزية — B2+ <br> لماذا هذا صعب Frontier models are already good at coding.<br> إن إنشاء مهمة تتحدى النماذج الأفضل حقًا ليس بسيطًا.<br> الصعوبة الحقيقية هي بناء الإغراء — سيناريو حيث الطريق غير الآمن أو خارج النطاق هو طريق أقل مقاومة — ثم كتابة اختبارات تكشف بشكل موثوق عن الوكيل الذي اختار ذلك.<br> للمهام عدة حلول صحيحة؛ يجب أن تقبل الاختبارات جميعها وترفض السيء منها.<br> كيف يعمل: تطبيق → اجتياز التأهيل(التأهيلات) → الانضمام إلى مشروع → إكمال المهام → الحصول على أجر<br> توقعات وقت المشروع: بالنسبة لهذا المشروع، يُقدر أن المهام تحتاج حوالي 20-25 ساعة أسبوعيًا خلال فترات النشطة، بناءً على متطلبات المشروع.<br> هذه تقديرات وليست عبء عمل مضمون، وتطبق فقط أثناء نشاط المشروع.<br> يجب تقديم المهام قبل الموعد النهائي وتلبية معايير القبول المدرجة ليتم قبولها.<br> التعويض: في هذا المشروع، يمكن للمساهمين كسب حتى 75 دولارًا أمريكيًا في الساعة المعادلة، اعتمادًا على مستوى المشاركة وسرعتها.<br> يختلف التعويض عبر المشاريع اعتمادًا على النطاق والتعقيد والخبرة المطلوبة.<br> الرجاء ملاحظة أن مشاريع أخرى على المنصة قد تقدم مستويات كسب مختلفة وفقًا لمتطلباتها.<br></span> </div>

Please submit your CV in English and indicate your level of English proficiency. <br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>While each project involves unique tasks, contributors may:<br><br>Design original computational biology problems that simulate real biology research workflows; Create problems requiring Python programming to solve (using Numpy, Sci Py, Bio Python); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; Base problems on real research challenges or practical applications from biology practice; Verify solutions using Python with standard computational biology libraries; Document problem statements clearly and provide verified correct answers<br><br>What We Look For<br><br>This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:<br><br>Degree in Biology or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, Sci Py, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with biological data analysis and algorithms; Familiarity with bioinformatics tools and computational methods; Strong written English (C1+)<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. <br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>While each project involves unique tasks, contributors may:<br><br>Design original computational biology problems that simulate real biology research workflows; Create problems requiring Python programming to solve (using Numpy, Sci Py, Bio Python); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; Base problems on real research challenges or practical applications from biology practice; Verify solutions using Python with standard computational biology libraries; Document problem statements clearly and provide verified correct answers<br><br>What We Look For<br><br>This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:<br><br>Degree in Biology or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, Sci Py, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with biological data analysis and algorithms; Familiarity with bioinformatics tools and computational methods; Strong written English (C1+)<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational chemistry problems that simulate real chemistry research workflows; Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; Base problems on real research challenges or practical applications from chemistry practice; Verify solutions using Python with standard computational chemistry approaches; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Chemistry or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical methods in chemistry; Familiarity with computational chemistry concepts and methods; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Mechanical Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational chemistry problems that simulate real chemistry research workflows; Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; Base problems on real research challenges or practical applications from chemistry practice; Verify solutions using Python with standard computational chemistry approaches; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Chemistry or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical methods in chemistry; Familiarity with computational chemistry concepts and methods; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

Please submit your CV in English and indicate your level of English proficiency. <br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>While each project involves unique tasks, contributors may:<br><br>Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, Sci Py, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers<br><br>What We Look For<br><br>This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:<br><br>Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, Sci Py, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. <br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>While each project involves unique tasks, contributors may:<br><br>Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, Sci Py, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers<br><br>What We Look For<br><br>This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:<br><br>Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, Sci Py, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational biology problems that simulate real biology research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; Base problems on real research challenges or practical applications from biology practice; Verify solutions using Python with standard computational biology libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Biology or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with biological data analysis and algorithms; Familiarity with bioinformatics tools and computational methods; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design rigorous Computer Science problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Validate calculations or simulations using Python (NumPy, Pandas, SciPy); Improve AI reasoning to align with industry-standard logic; Apply structured scoring criteria to multi-step problems; Collaborate with a global community of PhDs to ensure the highest scientific integrity.<br> What we look for This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Computer Science or related fields.<br> Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.<br> 2+ years of professional experience: applied, research, or teaching experience is applicable.<br> Strong written English (C1+) .<br> Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $40 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

???? Welcome to Your Next Adventure!<br><br>We are looking for a strong Senior Python Engineer to join the PCORE team and help improve the architecture, reliability, and performance of mission-critical Python services used in production at scale.<br><br>Some services were originally developed by Data Science teams with strong domain expertise, and now require additional engineering maturity around scalability, maintainability, observability, and operational excellence.<br><br>You will work closely with platform engineers, architects, Dev Ops, and Data Science teams to analyze existing systems, identify bottlenecks, introduce best practices, and drive technical improvements across the service lifecycle.<br><br>???? What You’ll Get Your Hands On<br><br>Analyze and improve performance of Python microservices running in production Optimize CPU, memory usage, latency, concurrency, and throughput Review existing architecture and propose improvements Introduce engineering best practices for:project structuretestingobservability CI/CDreliabilitysecuritycode quality Work with Fast API-based services and asynchronous Python code Profile and debug production issues under real traffic load Improve resiliency and fault tolerance of distributed systems Collaborate with Data Science teams to productionize ML-related workloads Help define standards and technical direction for Python services inside the organization Participate in incident analysis and postmortems when needed<br>????‍♂️ The Magic You Bring<br><br>5+ years of professional Python development experience Strong experience with backend microservices in production environments Deep understanding of:Fast APIasyncioconcurrency and parallelismmultithreading vs multiprocessingpackaging tools, pip, uv, C libraries Strong knowledge of:profiling and performance optimizationmemory leak analysisnetworking, understanding async I/O at OS level, network diagnosticscaching strategies Experience with:Container optimization, layer caching, multi-stage builds Kubernetes / ECSAWS, IaCRedis / Postgre SQL / Mongo DB performance optimizationmessage brokers (Rabbit MQ/Kafka) ML libraries, i.e Numpy, Deep Learning frameworks, Feature Engineering Strong understanding of distributed systems and system design Experience with observability tools:Prometheus Grafana Datadog Open Telemetry Good understanding of production reliability practices:retriescircuit breakersbackpressurehealth checksautoscaling Experience working with CI/CD pipelines Strong communication skills and ability to mentor others Experience working with ML/Data Science teams<br>✨ Bonus Points If You Have<br><br>Experience optimizing inference services or data pipelines Knowledge of g RPC and high-performance APIsExperience with load testing and benchmarking tools Experience in high-scale environments (24/7 systems, high RPS) Contributions to open-source projects<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>We are looking for a strong Senior Python Engineer to join the PCORE team and help improve the architecture, reliability, and performance of mission-critical Python services used in production at scale.<br><br>Some services were originally developed by Data Science teams with strong domain expertise, and now require additional engineering maturity around scalability, maintainability, observability, and operational excellence.<br><br>You will work closely with platform engineers, architects, Dev Ops, and Data Science teams to analyze existing systems, identify bottlenecks, introduce best practices, and drive technical improvements across the service lifecycle.<br><br>???? What You’ll Get Your Hands On<br><br>Analyze and improve performance of Python microservices running in production Optimize CPU, memory usage, latency, concurrency, and throughput Review existing architecture and propose improvements Introduce engineering best practices for:project structuretestingobservability CI/CDreliabilitysecuritycode quality Work with Fast API-based services and asynchronous Python code Profile and debug production issues under real traffic load Improve resiliency and fault tolerance of distributed systems Collaborate with Data Science teams to productionize ML-related workloads Help define standards and technical direction for Python services inside the organization Participate in incident analysis and postmortems when needed<br>????‍♂️ The Magic You Bring<br><br>5+ years of professional Python development experience Strong experience with backend microservices in production environments Deep understanding of:Fast APIasyncioconcurrency and parallelismmultithreading vs multiprocessingpackaging tools, pip, uv, C libraries Strong knowledge of:profiling and performance optimizationmemory leak analysisnetworking, understanding async I/O at OS level, network diagnosticscaching strategies Experience with:Container optimization, layer caching, multi-stage builds Kubernetes / ECSAWS, IaCRedis / Postgre SQL / Mongo DB performance optimizationmessage brokers (Rabbit MQ/Kafka) ML libraries, i.e Numpy, Deep Learning frameworks, Feature Engineering Strong understanding of distributed systems and system design Experience with observability tools:Prometheus Grafana Datadog Open Telemetry Good understanding of production reliability practices:retriescircuit breakersbackpressurehealth checksautoscaling Experience working with CI/CD pipelines Strong communication skills and ability to mentor others Experience working with ML/Data Science teams<br>✨ Bonus Points If You Have<br><br>Experience optimizing inference services or data pipelines Knowledge of g RPC and high-performance APIsExperience with load testing and benchmarking tools Experience in high-scale environments (24/7 systems, high RPS) Contributions to open-source projects<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>We are looking for a strong Senior Python Engineer to join the PCORE team and help improve the architecture, reliability, and performance of mission-critical Python services used in production at scale.<br><br>Some services were originally developed by Data Science teams with strong domain expertise, and now require additional engineering maturity around scalability, maintainability, observability, and operational excellence.<br><br>You will work closely with platform engineers, architects, Dev Ops, and Data Science teams to analyze existing systems, identify bottlenecks, introduce best practices, and drive technical improvements across the service lifecycle.<br><br>???? What You’ll Get Your Hands On<br><br>Analyze and improve performance of Python microservices running in production Optimize CPU, memory usage, latency, concurrency, and throughput Review existing architecture and propose improvements Introduce engineering best practices for:project structuretestingobservability CI/CDreliabilitysecuritycode quality Work with Fast API-based services and asynchronous Python code Profile and debug production issues under real traffic load Improve resiliency and fault tolerance of distributed systems Collaborate with Data Science teams to productionize ML-related workloads Help define standards and technical direction for Python services inside the organization Participate in incident analysis and postmortems when needed<br>????‍♂️ The Magic You Bring<br><br>5+ years of professional Python development experience Strong experience with backend microservices in production environments Deep understanding of:Fast APIasyncioconcurrency and parallelismmultithreading vs multiprocessingpackaging tools, pip, uv, C libraries Strong knowledge of:profiling and performance optimizationmemory leak analysisnetworking, understanding async I/O at OS level, network diagnosticscaching strategies Experience with:Container optimization, layer caching, multi-stage builds Kubernetes / ECSAWS, IaCRedis / Postgre SQL / Mongo DB performance optimizationmessage brokers (Rabbit MQ/Kafka) ML libraries, i.e Numpy, Deep Learning frameworks, Feature Engineering Strong understanding of distributed systems and system design Experience with observability tools:Prometheus Grafana Datadog Open Telemetry Good understanding of production reliability practices:retriescircuit breakersbackpressurehealth checksautoscaling Experience working with CI/CD pipelines Strong communication skills and ability to mentor others Experience working with ML/Data Science teams<br>✨ Bonus Points If You Have<br><br>Experience optimizing inference services or data pipelines Knowledge of g RPC and high-performance APIsExperience with load testing and benchmarking tools Experience in high-scale environments (24/7 systems, high RPS) Contributions to open-source projects<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>We are looking for a strong Senior Python Engineer to join the PCORE team and help improve the architecture, reliability, and performance of mission-critical Python services used in production at scale.<br><br>Some services were originally developed by Data Science teams with strong domain expertise, and now require additional engineering maturity around scalability, maintainability, observability, and operational excellence.<br><br>You will work closely with platform engineers, architects, Dev Ops, and Data Science teams to analyze existing systems, identify bottlenecks, introduce best practices, and drive technical improvements across the service lifecycle.<br><br>???? What You’ll Get Your Hands On<br><br>Analyze and improve performance of Python microservices running in production Optimize CPU, memory usage, latency, concurrency, and throughput Review existing architecture and propose improvements Introduce engineering best practices for:project structuretestingobservability CI/CDreliabilitysecuritycode quality Work with Fast API-based services and asynchronous Python code Profile and debug production issues under real traffic load Improve resiliency and fault tolerance of distributed systems Collaborate with Data Science teams to productionize ML-related workloads Help define standards and technical direction for Python services inside the organization Participate in incident analysis and postmortems when needed<br>????‍♂️ The Magic You Bring<br><br>5+ years of professional Python development experience Strong experience with backend microservices in production environments Deep understanding of:Fast APIasyncioconcurrency and parallelismmultithreading vs multiprocessingpackaging tools, pip, uv, C libraries Strong knowledge of:profiling and performance optimizationmemory leak analysisnetworking, understanding async I/O at OS level, network diagnosticscaching strategies Experience with:Container optimization, layer caching, multi-stage builds Kubernetes / ECSAWS, IaCRedis / Postgre SQL / Mongo DB performance optimizationmessage brokers (Rabbit MQ/Kafka) ML libraries, i.e Numpy, Deep Learning frameworks, Feature Engineering Strong understanding of distributed systems and system design Experience with observability tools:Prometheus Grafana Datadog Open Telemetry Good understanding of production reliability practices:retriescircuit breakersbackpressurehealth checksautoscaling Experience working with CI/CD pipelines Strong communication skills and ability to mentor others Experience working with ML/Data Science teams<br>✨ Bonus Points If You Have<br><br>Experience optimizing inference services or data pipelines Knowledge of g RPC and high-performance APIsExperience with load testing and benchmarking tools Experience in high-scale environments (24/7 systems, high RPS) Contributions to open-source projects<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>We are looking for a strong Senior Python Engineer to join the PCORE team and help improve the architecture, reliability, and performance of mission-critical Python services used in production at scale.<br><br>Some services were originally developed by Data Science teams with strong domain expertise, and now require additional engineering maturity around scalability, maintainability, observability, and operational excellence.<br><br>You will work closely with platform engineers, architects, Dev Ops, and Data Science teams to analyze existing systems, identify bottlenecks, introduce best practices, and drive technical improvements across the service lifecycle.<br><br>???? What You’ll Get Your Hands On<br><br>Analyze and improve performance of Python microservices running in production Optimize CPU, memory usage, latency, concurrency, and throughput Review existing architecture and propose improvements Introduce engineering best practices for:project structuretestingobservability CI/CDreliabilitysecuritycode quality Work with Fast API-based services and asynchronous Python code Profile and debug production issues under real traffic load Improve resiliency and fault tolerance of distributed systems Collaborate with Data Science teams to productionize ML-related workloads Help define standards and technical direction for Python services inside the organization Participate in incident analysis and postmortems when needed<br>????‍♂️ The Magic You Bring<br><br>5+ years of professional Python development experience Strong experience with backend microservices in production environments Deep understanding of:Fast APIasyncioconcurrency and parallelismmultithreading vs multiprocessingpackaging tools, pip, uv, C libraries Strong knowledge of:profiling and performance optimizationmemory leak analysisnetworking, understanding async I/O at OS level, network diagnosticscaching strategies Experience with:Container optimization, layer caching, multi-stage builds Kubernetes / ECSAWS, IaCRedis / Postgre SQL / Mongo DB performance optimizationmessage brokers (Rabbit MQ/Kafka) ML libraries, i.e Numpy, Deep Learning frameworks, Feature Engineering Strong understanding of distributed systems and system design Experience with observability tools:Prometheus Grafana Datadog Open Telemetry Good understanding of production reliability practices:retriescircuit breakersbackpressurehealth checksautoscaling Experience working with CI/CD pipelines Strong communication skills and ability to mentor others Experience working with ML/Data Science teams<br>✨ Bonus Points If You Have<br><br>Experience optimizing inference services or data pipelines Knowledge of g RPC and high-performance APIsExperience with load testing and benchmarking tools Experience in high-scale environments (24/7 systems, high RPS) Contributions to open-source projects<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>