Python Developer Jobs in Qatar

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><b><b>Job Description Summary</b></b></b></span>GE Aerospace is hiring an early-career Software Engineer to help our engineers unlock the power of data, cloud, and AI. You will consult on architecture, build proof of concepts, and ship production solutions for strategic business projects — including data science and machine learning systems. Applying the Innovator Method, you'll turn customer insights into solutions that deliver measurable business value while deepening your expertise in cloud platforms, data engineering, and AI technologies. This role is an ideal next step for interns completing our internship program and for recent graduates ready to shape the future of flight.<span><b>Job Description</b></span><p><b>Company Overview:</b></p><br><p>Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!</p><br><p><b>Site Overview:</b></p><br><p>For over 40 years, GE Aerospace has had a significant presence on the ground in the United Arab Emirates. With offices in Abu Dhabi and Dubai Airport Freezone; an On Wing Support Center; partnership engineering, testing, and Maintenance, Repair, and Overhaul facilities across the country; and the Middle East Technology Center focused on solutions for the region’s hot &amp; harsh environment. In addition to career opportunities, our sites offer a culture focused on respect for people and giving back to the community <u>t</u>hrough grants and philanthropic programming.</p><br><p><b>Role Overview:</b></p><br><p>At GE Aerospace, our people invent the future of flight — lifting people up and bringing them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. Respect for people is core to our culture and to FLIGHT DECK, our proprietary lean operating model, and we cultivate communities where talented people from all backgrounds are empowered to reach their fullest potential.</p><br><p>At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world's most complex engineering problems using innovative approaches and new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies — like cloud and AI — to unlock new possibilities and shape the future of flight.</p><br><p>As a Software Engineer on this team, you'll move beyond proof of concept: you will own solutions end-to-end, from architecture and design through production deployment and support, delivering real business impact for engineering teams across the company.</p><br><p>We are keen on building scalable, long-lasting solutions — software designed to outlive its first release. That means investing in good design over quick fixes: clean abstractions, simple interfaces, and code that clearly communicates its intent. Working code isn't the finish line; we continually refine our systems so they remain easy to understand, extend, and maintain as they grow, because small design investments today compound into velocity tomorrow.</p><br>What You Will Do<ul><li>Design, build, and ship production-grade solutions — LLM-powered applications, machine learning models, and APIs — that enable engineers to evaluate and adopt data and AI capabilities</li><li>Consult on architecture and deliver solutions for business-strategic projects, including data science and machine learning systems</li><li>Own features end-to-end — design, implementation, testing, deployment, and production support — to meet business needs and drive measurable impact</li><li>Build and present product architectures, write high-quality technical code, participate in design and code reviews, and demo applications to stakeholders and senior leaders</li><li>Apply the Innovator Method and lead design thinking workshops to turn customer insights into solutions that deliver real business value</li><li>Apply cloud platforms, databases, data engineering, web technologies, and numerical methods in your work — and stay current with advances in AI, LLMs, and agentic architectures</li><li>Collaborate closely with teammates, share knowledge and use your strengths to support the team, and build cross-functional relationships across the company</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science or another STEM discipline</li><li>0–2 years of professional experience in software engineering, data, or AI (internship and co-op experience counts)</li><li>Proficiency in programming and debugging with at least one of the following languages: Python, C++, Go, or Rust</li><li>Experience working with databases and SQL</li><li>Hands-on experience in at least one of the following: Machine Learning, Large Language Models (LLMs), or Computer Vision</li><li>Experience building solutions on a public cloud platform such as AWS or Azure</li></ul>Desired Qualifications<ul><li>Strong academic performance</li><li>Experience designing AI solutions and architecting distributed data systems</li><li>Familiarity with LLM application technologies and patterns, such as retrieval-augmented generation (RAG), agentic workflows, prompt engineering, vector databases and embeddings, and LLM evaluation</li><li>Experience building and serving REST APIs (e.g., FastAPI, Flask) and packaging AI capabilities for reuse across teams (e.g., Model Context Protocol / MCP servers)</li><li>Familiarity with MLOps practices, such as experiment tracking (e.g., MLflow), model registries, automated training pipelines, and model monitoring</li><li>Customer-centric mindset with the ability to facilitate design thinking workshops</li><li>Prior internship, co-op, or project experience in software, data, or AI (GE Aerospace internship experience is a plus)</li><li>Familiarity with modern engineering practices: version control (Git), CI/CD, containers, and agile development</li><li>AWS and/or Azure certification (preferred but not required)</li></ul><p>Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace.</p><br><p>At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.</p><br><span><b><b><b>Additional Information</b></b></b></span><p><b>Relocation Assistance Provided: </b>No</p><br><br><br><br><br><br><br><br>#LI-Remote - This is a remote position </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Backend Developer – Python/FastAPI - Perm <p><strong>Key Responsibilities:</strong></p><br> <ul> <li>Develop secure and scalable backend applications using Python and FastAPI.</li> <li>Build and maintain REST APIs, database components, and system integrations.</li> <li>Convert approved business requirements into reliable system functions.</li> <li>Integrate the Core System with internal applications and external service providers.</li> <li>Perform unit testing, debugging, performance optimization, and defect resolution.</li> <li>Apply authentication, authorization, validation, logging, and audit-trail requirements.</li> <li>Support data migration, user acceptance testing, deployment, and production issues.</li> <li>Prepare and maintain technical and API documentation.</li> </ul> <p><strong>Requirements:</strong></p><br> <ul> <li>Bachelor's degree in Computer Science, Software Engineering, or a related field.</li> <li>Practical experience in Python, FastAPI, REST APIs, and relational databases.</li> <li>Knowledge of SQL, Git, API security, automated testing, and containerization.</li> <li>Understanding of system integrations and financial transaction processing is preferred.</li> <li>Strong analytical, troubleshooting, and problem-solving skills.</li> </ul> <br> <br> </div>

???? Welcome to Your Next Adventure!<br><br>???? What You’ll Get Your Hands On<br><br>Lead the research, development, and implementation of advanced time series forecasting models to optimise logistics operations, including ETA prediction, preparation times, and demand forecasting. Design and implement optimization algorithms and solvers to improve logistics network efficiency, route planning, and resource allocation. Design and conduct rigorous experiments to test, validate, and benchmark models under various real-world scenarios, ensuring robustness and accuracy. Fine-tune, deploy, and monitor ML models and applications in production, maintaining retraining pipelines and ensuring model performance over time. Collaborate with ML engineers, backend engineers, researchers, and product engineers in a cross-functional setting to identify key operational challenges and develop innovative data-driven solutions. Conduct A/B tests and other experimentation techniques to evaluate model impact and drive continuous improvement across logistics KPIs. Translate complex analytical results into actionable business insights, presenting findings to senior leadership and stakeholders. Provide technical leadership in data science, mentoring junior team members and driving best practices in modelling, experimentation, and code quality. Stay up-to-date with the latest advancements in AI, ML, and operations research, integrating cutting-edge techniques into logistics solutions.<br><br>????‍♂️ The Magic You Bring<br><br>MSc in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field. Nice to Have: PhD in Data Science, Statistics, Computer Science, Electrical Engineering, or equivalent industrial experience.5+ years of experience in data science, machine learning, or statistical modelling, with a strong focus on time series forecasting and/or optimisation problems. Extensive hands-on experience with time series forecasting methods (e.g., ARIMA, Prophet, Light GBM, TFT, Deep AR, N-BEATS) and regression/classification models. Practical experience with optimisation techniques and solvers (e.g., linear programming, mixed-integer programming, heuristic methods, OR-Tools, PuLP, or similar). Proficiency in Python, including libraries such as Pandas, Num Py, Scikit-learn, Optuna, Light GBM, Tensor Flow, or PyTorch. Practical experience in developing and deploying ML models at scale, including monitoring and retraining pipelines. Practical experience in A/B testing and other experimentation techniques. Strong experience handling large datasets and proficiency with SQL databases (Big Query, Redash, or others). Experience with cloud platforms such as AWS (ECS, S3, Lambda, Step Functions), GCP (Big Query, Vertex AI), and/or Databricks for ML model development and deployment. Proven experience in the delivery and logistics industry, with a strong understanding of its operational challenges and optimisation opportunities (a plus<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>Real Builders Ship: “We turn ideas into products, plans into action, and challenges into opportunities.”<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!

About the Role<br>Our client is a market-leading banking and financial services organisation investing in advanced AI and digital transformation. We are seeking a Senior AI Engineer to lead the design, development and deployment of enterprise-grade Agentic AI and Generative AI solutions. This role combines hands-on engineering, cloud architecture and technical leadership within a highly regulated environment.<br>Key Responsibilities<br>Lead the design and development of Agentic AI, LLM and multi-agent solutions. Architect AI platforms using RAG, vector databases, embeddings and knowledge retrieval. Design scalable AI solutions across Azure and/or GCP, including Kubernetes/Open Shift. Develop production-grade AI services using Python, APIs, microservices and Kafka. Provide technical leadership, mentoring and guidance across AI engineering initiatives.<br>Technical Skills:<br>Expert Python with strong software engineering and API development experience. Strong knowledge of LLMs, Generative AI, RAG and AI orchestration frameworks. Experience with Lang Chain, Llama Index, Semantic Kernel or similar. Advanced knowledge of Azure/GCP, Docker, Kubernetes, Open Shift and MLOps. Strong experience with Kafka, Spark, SQL, Git, CI/CD and model monitoring.<br>Experience & Qualifications:<br>7+ years of software engineering experience, including 4+ years in AI/ML. Proven experience delivering AI solutions into production. Strong experience in AI architecture, cloud engineering and enterprise integration. Banking or financial services experience is mandatory. Bachelor's or Master's degree in Computer Science, Data Science or a related field.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<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 Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Requirements and benefits At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar) Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS) Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design Experience implementing REST APIs, request validation, error handling, and authentication flows Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar) Experience integrating LLM APIs or other AI services into product features is a strong plus Comfortable with version control (Git) and basic testing practices Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently Portfolio of shipped web applications (required) English proficiency: Upper-intermediate (B2) or above (required) 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 $60 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> 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></span> </div>

Mindrift is looking for skilled Full-Stack Web App Developers (Java Script/Type Script + Python or Node) to join the Tendem project (https://tendem.ai/) and build interactive browser-based applications for real-world use cases.<br><br>In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-Saa S tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br><br>Key Responsibilities<br><br>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/Fast API/Flask or Node/Express) Design and implement data models, schemas, and persistence layers using SQL (Postgre SQL, SQLite) or NoSQL stores Implement authentication, sessions, and basic role-based access where needed Integrate third-party APIs and AI/LLM services (Open AI, Anthropic, or similar) into product features Handle state management, user input validation, error states, and loading states cleanly Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities) Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability Write clear, testable code and debug end-to-end issues across frontend, backend, and database<br><br>Educational Qualifications<br><br>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br><br>Technical Skills (Essential)<br><br>Strong command of Java Script/Type Script and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar) Solid backend experience in Python (Fast API, Flask, Django) and/or Node.js (Express, Nest JS) Hands-on experience with relational databases (Postgre SQL, MySQL, SQLite) and basic schema design Experience implementing REST APIs, request validation, error handling, and authentication flows Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar) Experience integrating LLM APIs or other AI services into product features is a strong plus Comfortable with version control (Git) and basic testing practices<br><br>Additional Requirements<br><br>Strong attention to detail and commitment to building working, robust products — not demos Self-directed work ethic with the ability to architect, build, and ship features independently Portfolio of shipped web applications (required) English proficiency: Upper-intermediate (B2) or above (required)<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 $60 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.<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform. Participate in performance-based bonus programs that reward high-quality work and consistent delivery

Mindrift is looking for skilled Full-Stack Web App Developers (Java Script/Type Script + Python or Node) to join the Tendem project (https://tendem.ai/) and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot - that's how we refer to this position at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-Saa S tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br><br>Key Responsibilities<br><br>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/Fast API/Flask or Node/Express) Design and implement data models, schemas, and persistence layers using SQL (Postgre SQL, SQLite) or NoSQL stores Implement authentication, sessions, and basic role-based access where needed Integrate third-party APIs and AI/LLM services (Open AI, Anthropic, or similar) into product features Handle state management, user input validation, error states, and loading states cleanly Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities) Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability Write clear, testable code and debug end-to-end issues across frontend, backend, and database<br><br>Requirements And Benefits<br><br>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential Strong command of Java Script/Type Script and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar) Solid backend experience in Python (Fast API, Flask, Django) and/or Node.js (Express, Nest JS) Hands-on experience with relational databases (Postgre SQL, MySQL, SQLite) and basic schema design Experience implementing REST APIs, request validation, error handling, and authentication flows Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar) Experience integrating LLM APIs or other AI services into product features is a strong plus Comfortable with version control (Git) and basic testing practices Strong attention to detail and commitment to building working, robust products — not demos Self-directed work ethic with the ability to architect, build, and ship features independently Portfolio of shipped web applications (required) English proficiency: Upper-intermediate (B2) or above (required)<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 $60 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.<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. -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 Participate in performance-based bonus programs that reward high-quality work and consistent delivery

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop predictive and statistical models</li><li>Identify trends, anomalies, and optimization opportunities</li><li>Translate data insights into actionable strategies</li><li>Support deployment of analytics solutions</li></ul><p><strong>Requirements:</strong></p><ul><li>Master s or PhD in Data Science, AI, or related field</li><li>10 13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>The AMI Analyst is responsible for analyzing AMI data to ensure metering accuracy, data quality, and operational performance. The role supports optimization of utility operations through advanced reporting, validation, and data-driven insights.&nbsp;</span></b><br><br></span><br><span>Requirements</span><ul><li><p><span>Bachelor’s degree in Data Science, Computer Science, Engineering, or a related discipline.</span><br></p><br></li><li><p><span>Certification in data analytics tools (Power BI, Tableau, Google Data Analytics, or equivalent).</span><br></p><br></li><li><p><span>Minimum 4 years of relevant experience in data analysis, preferably within AMI or utility systems.</span><br></p><br></li><li><p><span>Proficiency in data analytics tools such as Power BI and Tableau.</span><br></p><br></li><li><p><span>Strong programming skills in Python, R, and SQL.</span><br></p><br></li><li><p><span>Ability to manage large datasets and generate actionable insights.</span><br></p><br></li><li><p><span>Strong coordination and communication skills.</span><br></p><br></li><li><p><span>Efficiency, adaptability, initiative, and problem-solving mindset.</span><br></p><br></li><li><p><span>Written and spoken English is essential; Arabic is preferred.</span><br></p><br></li></ul><br> </div>

<p>The primary responsibilities of the Security Infrastructure Engineer Google SecOps:</p><p>Functional Responsibilities:</p><ul><li><strong>Data Ingestion and Normalization Pipeline Management:</strong> Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks.</li><li><strong>Parser Development:</strong> Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM).</li><li><strong>Data Health Monitoring:</strong> Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data.</li><li><strong>SOAR &amp; Automation Engineering</strong></li><li><strong>Playbook Development:</strong> Design and code automated incident response playbooks in Google SOAR using Python and visual builders.</li><li><strong>Connector Engineering:</strong> Build and maintain API integrations between Google SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems).</li><li><strong>Workflow Optimization:</strong> Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions.</li><li><strong>Case Management Configuration:</strong> Tailoring the SOAR environment to fit the SOC s operational needs, including custom fields, stages, and SLA tracking.</li><li><strong>Platform Administration and Optimization</strong></li><li><strong>System Health Monitoring:</strong> Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits.</li><li><strong>Access Control:</strong> Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data.</li><li><strong>Threat Intel Ingestion:</strong> Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats.</li><li><strong>Collaboration with SOC Team</strong></li><li><strong>Feedback Loops:</strong> Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and noise levels.</li><li><strong>Requirements Gathering:</strong> Interviewing incident responders to understand their manual workflows, then translating those into Google SOAR playbooks.</li><li><strong>Training &amp; Enablement:</strong> Conducting knowledge transfer sessions on how to use UDM Search and the Google SecOps interface to speed up investigations.</li><li><strong>Alignment with Infrastructure Team</strong></li><li><strong>Data Ingestion Strategy:</strong> Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google SecOps platform.</li><li><strong>Agent Deployment:</strong> Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines.</li><li><strong>Troubleshooting:</strong> Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google SecOps platform.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Knowledge, Skills &amp; Experience</h2><h3>Academic &amp; Professional Qualifications:</h3><ul><li>Bachelor s degree in computer science, IT, Cybersecurity, or equivalent.</li><li>SIEM Certification ( Google SecOps, Splunk, Azure Sentinel).</li><li>Preferred: Security certifications such as Security+, CySA+, CEH, CISSP, GCIH</li></ul><h3>Google SecOps Engineer Experience:</h3><ul><li>3 5 years of hands-on experience in Security Engineering, SOC Automation, DevOps Engineer, Security Operations, or Infrastructure Security.</li></ul><h3>Skills and Requirements:</h3><ul><li><strong>SIEM/SOAR Mastery:</strong> Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1 2 years specifically focused on Google SecOps (Chronicle). Key Requirement: Required skills: Google SecOps.</li><li><strong>Coding &amp; Scripting:</strong> Professional experience using Python to automate security workflows or build custom API connectors.</li><li><strong>Cloud Infrastructure:</strong> Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging.</li><li><strong>Languages:</strong> Python (Advanced), SQL (BigQuery), YARA/YARA-L, and Bash.</li><li><strong>Frameworks:</strong> MITRE ATT&amp;CK, NIST Cybersecurity Framework.</li><li><strong>Tools:</strong> Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization).</li><li><strong>Data Standards:</strong> Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization.</li></ul><h3>Soft Skills</h3><ul><li>Strong analytical thinking and problem-solving capability.</li><li>Excellent communication skills, able to explain technical findings to non-technical stakeholders.</li><li>Ability to work independently, manage multiple priorities, and meet deadlines.</li><li>Attention to detail and a structured, documentation-driven mindset.</li></ul>

<p>The primary responsibilities of the Security Infrastructure Engineer Sentinel:</p><p>Functional <b>Responsibilities</b>:</p><p>Data Ingestion and Normalization Pipeline Management: Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks.</p><p>Parser Development: Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM).</p><p>Data Health Monitoring: Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data.</p><p>SOAR &amp; Automation Engineering</p><p>Playbook Development: Design and code automated incident response playbooks in Sentinel SOAR using Python and visual builders.</p><p>Connector Engineering: Build and maintain API integrations between Sentinel SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems).</p><p>Workflow Optimization: Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions.</p><p>Case Management Configuration: Tailoring the SOAR environment to fit the SOC s operational needs, including custom fields, stages, and SLA tracking.</p><p>Platform Administration and Optimization</p><p>System Health Monitoring: Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits.</p><p>Access Control: Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data.</p><p>Threat Intel Ingestion: Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats.</p><p>Collaboration with SOC Team</p><p>Feedback Loops: Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and noise levels.</p><p>Requirements Gathering: Interviewing incident responders to understand their manual workflows, then translating those into Sentinel SOAR playbooks.</p><p>Training &amp; Enablement: Conducting knowledge transfer sessions on how to use UDM Search and the MS Sentinel interface to speed up investigations.</p><p>Alignment with Infrastructure Team</p><p>Data Ingestion Strategy: Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google SecOps platform.</p><p>Agent Deployment: Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines.</p><p>Troubleshooting: Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google SecOps platform.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Academic &amp; Professional Qualifications:</strong></p><p>Bachelor s degree in computer science, IT, Cybersecurity, or equivalent.</p><p>SIEM Certification (Azure Sentinel).</p><p><strong>Preferred:</strong> Security certifications such as Security+, CySA+, CEH, CISSP, GCIH</p><p><strong>Sentinel Engineer Experience:</strong></p><p>3 5 years of hands-on experience in Security Engineering, SOC Automation, DevOps Engineer, Security Operations, or Infrastructure Security.</p><p><strong>Skills and Requirements:</strong></p><p>SIEM/SOAR Mastery: Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1 2 years specifically focused on Google SecOps (Chronicle).</p><p><strong>Key Requirement:</strong> Required skills: Google SecOps.</p><p>Coding &amp; Scripting: Professional experience using Python to automate security workflows or build custom API connectors.</p><p>Cloud Infrastructure: Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging.</p><p>Languages: Python (Advanced), SQL (BigQuery), YARA/YARA-L, and Bash.</p><p>Frameworks: MITRE ATT&amp;CK, NIST Cybersecurity Framework.</p><p>Tools: Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization).</p><p>Data Standards: Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization.</p><p><strong>Soft Skills:</strong></p><p>Strong analytical thinking and problem-solving capability.</p><p>Excellent communication skills, able to explain technical findings to non-technical stakeholders.</p><p>Ability to work independently, manage multiple priorities, and meet deadlines.</p><p>Attention to detail and a structured, documentation-driven mindset.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<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 Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Requirements and benefits At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar) Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS) Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design Experience implementing REST APIs, request validation, error handling, and authentication flows Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar) Experience integrating LLM APIs or other AI services into product features is a strong plus Comfortable with version control (Git) and basic testing practices Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently Portfolio of shipped web applications (required) English proficiency: Upper-intermediate (B2) or above (required) 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 $60 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> 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></span> </div>

???????????????????????? ???????????????????????????????? – ???????? (????/// ???????????? & ????????????) | ????????????????????????????????????????????????????: ????????????????????????????????????????????????????: ???? ????????????????, ????????????????????????????????????????<br>We are looking for an experienced Senior L2 Operations Engineer to provide operational support across Ericsson Network Manager (ENM) and client's Network Engineer (ENE) production environments.<br>???????????????????????????????? ????????????????????????• Telecom domain experience.• Strong operational knowledge of Ericsson ENM and ENE.• L2 production operations/support experience.• Experience with order orchestration and revenue-assurance-related data fixes.• Production incident troubleshooting and RCA.• Automated build/deployment pipeline experience.• Release and deployment coordination.• Scripting capability using Python and/or Groovy, alongside shell scripting.• Strong customer-facing communication skills.<br>???????????????? ???????? ????????????????• Rosetta or similar deployment automation experience.• MySQL/JDBC exposure.• Apache Http Client knowledge.• Rhino/Java Script within JVM environments.• Experience with log-analysis platforms.• ITIL Foundation or higher certification.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Proactively monitor system health, performance, and resource utilization across Linux environments, identifying and resolving potential issues before they impact users.</p></li><li><p>Install, configure, and maintain Linux operating systems, ensuring optimal performance, security, and reliability.</p></li><li><p>Automate routine tasks such as patching, backups, and deployments using scripting languages like Bash or Python to improve efficiency and reduce manual errors.</p></li><li><p>Manage user accounts, permissions, and access controls to enforce security policies and maintain system integrity.</p></li><li><p>Must have good experience in Oracle/ OCI and Linux</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.</li><li>Minimum of 3 years of hands-on experience as a Linux Administrator or Operator in a production environment.</li><li>Proficiency in at least one major Linux distribution (e.g., Red Hat, Ubuntu, CentOS).</li><li>Strong understanding of networking concepts (TCP/IP, DNS, DHCP, VPNs) and their application in Linux.</li></ul><p></p></section>

Role Overview<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

<p><strong>VAS Operations & Support Engineer</strong> Location: Doha, Qatar Experience: 3–5 Years Employment Type: Full-Time<br></p><p>Job Summary</p><p>We are looking for a <strong>VAS Operations & Support Engineer</strong> to manage, monitor, maintain, and troubleshoot telecom VAS platforms in a production environment. The role involves incident resolution, preventive maintenance, service monitoring, automation, and coordination with vendors and technical teams.</p><p>Key Responsibilities</p><ul><li><p>Monitor and support <strong>telecom VAS platforms</strong> and production services.</p></li><li><p>Troubleshoot application, server, database, API, messaging, and connectivity issues.</p></li><li><p>Handle <strong>incident, problem, and change management</strong> activities.</p></li><li><p>Perform health checks, preventive maintenance, KPI/alarm monitoring, and service verification.</p></li><li><p>Support <strong>HA/DR, backup/restore, and service availability</strong> activities.</p></li><li><p>Develop automation scripts using <strong>Python, Shell/Bash, SQL, or REST APIs</strong>.</p></li><li><p>Work with vendors, NOC, IT, Network, Security, and other technical teams.</p></li><li><p>Maintain technical documentation, SOPs, MOPs, and troubleshooting guides.</p></li><li><p>Support after-hours/on-call activities when required.</p></li></ul><p>Required Skills</p><ul><li><p>3–5 years of experience in <strong>Telecom VAS / Application Operations / Production Support / O&M</strong>.</p></li><li><p>Strong hands-on troubleshooting experience.</p></li><li><p>Good knowledge of <strong>Linux/Unix, SQL, TCP/IP, REST APIs, JSON/XML</strong>.</p></li><li><p>Experience with <strong>Python and/or Shell/Bash scripting</strong>.</p></li><li><p>Experience in monitoring and incident/problem management.</p></li><li><p>Exposure to <strong>SMSC/SMPP, Messaging, eSIM, Device Management, or VAS platforms</strong> is preferred.</p></li><li><p>Knowledge of <strong>HA/DR, Kubernetes, Cloud, DevOps, or AI/AIOps</strong> is an advantage.</p></li><li><p>Bachelor's degree in <strong>Computer Science, IT, Computer/Telecom Engineering</strong>, or equivalent.</p></li></ul><p>Ideal Candidate</p><p>A hands-on <strong>Telecom VAS / Production Support Engineer</strong> with strong troubleshooting and operations experience, who can work across multiple platforms and automate repetitive operational activities.</p><p><strong>Desired Candidate Profile</strong></p><ol><li><p>3–5 years of experience in <strong>Telecom VAS / Production Support / O&M</strong>.</p></li><li><p>Strong hands-on experience in <strong>VAS platform operations, monitoring, and troubleshooting</strong>.</p></li><li><p>Good knowledge of <strong>Linux/Unix, SQL, TCP/IP, REST APIs, and scripting</strong>.</p></li><li><p>Experience with <strong>Python/Shell scripting and operational automation</strong>.</p></li><li><p>Exposure to <strong>SMSC/SMPP, Messaging, eSIM, Device Management, or similar VAS platforms</strong>.</p></li><li><p>Strong incident, problem, change management, and RCA experience.</p></li><li><p>Good communication and coordination skills with <strong>NOC, IT, Network, Security, and vendors</strong>.</p></li><li><p>Willingness to support <strong>on-call/after-hours production incidents</strong>.</p></li><li><p>Exposure to <strong>Cloud, Kubernetes, DevOps, or AI/AIOps</strong> will be an advantage.</p></li></ol>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Technical Team Lead – Core System - Perm <p><strong>Key Responsibilities:</strong></p><br> <ul> <li>Lead the end-to-end development and implementation of the Python/FastAPI Core System.</li> <li>Define the system architecture, coding standards, security controls, and integration approach.</li> <li>Allocate tasks and supervise the Backend and Frontend Developers.</li> <li>Review source code and ensure its quality, performance, security, and maintainability.</li> <li>Coordinate system integration with internal and external platforms.</li> <li>Support testing, deployment, data migration, and post-implementation activities.</li> <li>Monitor project progress, resolve technical issues, and report implementation risks.</li> <li>Maintain proper technical documentation and ensure effective knowledge transfer.</li> </ul> <p><strong>Requirements:</strong></p><br> <ul> <li>Bachelor's degree in Computer Science, Software Engineering, or a related field.</li> <li>Strong experience in Python, FastAPI, REST APIs, databases, and system integrations.</li> <li>Experience leading software development teams and implementing enterprise-level systems.</li> <li>Knowledge of secure coding, version control, testing, deployment, and DevOps practices.</li> <li>Experience in financial, banking, exchange, or remittance systems is preferred.</li> </ul> <br> <br> </div>

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)