وظائف مطورين بايثون - الدوحة قطر

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.

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.

???? 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!

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><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><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<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 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 Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Compensation<br><br>On this project, contributors can earn up to $37 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>How To Get Started<br><br>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.<br><br>Requirements<br><br>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<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

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><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><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<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 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 Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Compensation<br><br>On this project, contributors can earn up to $37 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>How To Get Started<br><br>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.<br><br>Requirements<br><br>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<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

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. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $200/hr. Because payment is per task, a faster pace raises your effective hourly rate.

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p>نظرة عامة على الدور: قيادة التحليلات المتقدمة، النمذجة التنبؤية، وتطبيقات التعلم الآلي لدعم القرارات التجارية والتشغيلية. المسؤوليات الأساسية: تطوير نماذج تنبؤية وإحصائية تحديد الاتجاهات والشذوذ وفرص التحسين ترجمة رؤى البيانات إلى استراتيجيات قابلة للتنفيذ دعم نشر حلول التحليلات المتطلبات: ماجستير أو دكتوراه في علم البيانات، الذكاء الاصطناعي، أو مجال ذي صلة 10-13+ سنوات في التحليلات المتقدمة برمجة قوية (بايثون، أطر AI/ML)</p></div></section><section><p class="heading">الملف المرغوب فيه للمرشح</p><p class="paragraph"></p><p>ماجستير أو دكتوراه في علم البيانات، الذكاء الاصطناعي، أو مجال ذي صلة 10-13+ سنوات في التحليلات المتقدمة برمجة قوية (بايثون، أطر AI/ML)</p><p></p></section>

<section><p class="heading jdMain">وصف العمل</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p>قيادة مبادرات التحليلات المتقدمة، النمذجة التنبؤية، وتعلم الآلة لدعم القرارات التجارية والتشغيلية.</p></div></section><section><p class="heading">الملف المرغوب فيه للمرشح</p><p class="paragraph"></p><h2>المتطلبات</h2><ul><li>ماجستير أو دكتوراه في علوم البيانات، الذكاء الاصطناعي، أو مجال ذات صلة</li><li>10-13+ سنوات في التحليلات المتقدمة</li><li>برمجة قوية (بايثون، أطر AI/ML)</li></ul><p></p></section>

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p><br></p><p>نظرة عامة على الدور: قيادة التحليلات المتقدمة، ونمذجة التنبؤ، ومبادرات التعلم الآلي لدعم قرارات العمل والتشغيل.</p></div></section><section><p class="heading">الملف المرغوب فيه للمرشح</p><p class="paragraph"></p><h2>المتطلبات:</h2><ul><li>درجة الماجستير أو الدكتوراه في علوم البيانات، الذكاء الاصطناعي، أو المجال ذي الصلة</li><li>10-13+ سنوات في التحليلات المتقدمة</li><li>برمجة قوية (بايثون، أطر AI/ML)</li></ul><p></p></section>

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p>معهد قطر للبحوث في البيئة والطاقة (QEERI) يبحث عن باحث عالمي عالي التحفيز وموجه نحو التأثير ليكون ضمن فريقنا متعدد التخصصات الذي يعالج تحديات بيئية حاسمة تتعلق بتأثيرات الجسيمات الهوائية على المناخ في المناطق القاحلة. نحن مهتمون بشكل خاص بمرشحين لديهم سجل بحثي قوي في وفهم وتقدير التأثيرات المناخية للجسيمات بما في ذلك تكوين الجزيئات الجديدة والاتصال بجسيمات الجسيمات وتفاعلاتها مع الغبار والخصائص البصرية والتفاعل مع السحب الهوائية. سيقوم المرشح الناجح بدعم وقيادة أبحاث تطبيقية تجمع بين القياس والتوصيف المتقدمين بالتنسيق مع قدراتنا القائمة في جودة الهواء وتركيبة الغلاف الجوي وتوظيفها لتطوير أدوات ونماذج التنبؤ. لهذا الدور دور رئيسي في تشكيل مبادرات الصحة البيئية ودعم السياسات والمعايير والارشادات الخاصة بجودة الهواء الداخلي المستندة إلى الأدلة.</p><p>قيادة تحليل البيانات وتفسير المجموعات البيانية الموجودة حول تأثيرات الجسيمات والطقس واستغلالها لتعميق الفهم وتأثير هذا الموضوع في المناطق القاحلة. تصميم، تنفيذ وقيادة حملات قياس ميدانية توصف خصائص الجسيمات الجوية بما في ذلك أحداث تكوين جسيمات جديدة وتوزيعات الحجم والخصائص البصرية والتركيب الكيميائي. فحص تفاعلات الغبار الهوائي وتأثيرها على الإشعاع في البيئات القاحلة ونصف القاحلة، مع التركيز على شبه الجزيرة العربية. المساعدة في دمج البيانات الرصدية مع نماذج جوية إقليمية وعالمية لتحديد تأثيرات المناخ للجسيمات وتحسين قدرات التنبؤ. نشر أبحاث عالية الجودة محكمة في مجلات دولية رائدة وتقديم النتائج في مؤتمرات علمية كبرى. المشاركة في بناء القدرات وتأثير أصحاب المصلحة، بما في ذلك التقارير الفنية ونقل المعرفة إلى المؤسسات العامة وصانعي السياسات. القيادة والمساهمة في طلبات تمويل بحثية تنافسية على المستويين الوطني والدولي. المساهمة في الإرشاد والإشراف على الطلاب الدراسات العليا ومساعدي البحث وباحثين في بداية مسيرتهم المهنية.</p></div></section><section><p class="heading">الملف المرشح المطلوب</p><p class="paragraph"></p><ul><li>دكتوراه في مجالات علمية أو تقنية ذات صلة مثل علم الأجواء، الهندسة البيئية أو الكيميائية أو الميكانيكية، العلوم البيئية، الفيزياء، الكيمياء أو المجالات ذات الصلة.</li><li>خبرة بحثية مثبتة في المجالات ذات الصلة لمدة لا تقل عن 3 سنوات بعد الدكتوراه.</li><li>إتقان أدوات تحليل البيانات مثل بايثون، R، MATLAB، IGOR Pro أو منصات مكافئة.</li><li>خبرة في تصميم أو إجراء القياسات الميدانية ومعالجة أعطال أدوات البحث عالية المستوى.</li><li>خبرة عملية مع أجهزة قياس الجسيمات الهوائية (مثلاً SMPS، CCN، ACMS، النفلوجومتر، الميثالثة، وأجهزة مرتبطة أخرى).</li><li>سجل منشورات مُحكمة ومساهمات في البحوث البيئية أو دراسات الصحة التطبيقية.</li><li>القدرة على العمل بشكل مستقل وقيادة أنشطة البحث ضمن بيئة تعاونية ومتعددة التخصصات.</li><li>مهارات تواصل قوية وعقلية تعاونية، بما في ذلك خبرة في التواصل مع أصحاب المصلحة الوطنيين، الجهات التنظيمية، أو فرق متعددة التخصصات.</li><li>خبرة في أطر نمذجة جوية</li><li>خبرة مع واجهات علمية-سياسية، بما في ذلك تطوير مدخلات تقنية لإرشادات الصحة البيئية.</li><li>القدرة المثبتة على تأمين تمويل البحوث، قيادة مشاريع تعاونية، وإدارة المخرجات.</li></ul><p></p></section>

<p>تدعم Guildhall حالياً شركة هندسية رائدة في الدوحة، قطر في مشاريع بنية تحتية رئيسية على الطرق وإدارة أصول الرصفة. نحن حالياً نبحث عن مهندس جمع/معالجة بيانات الرصفة ذو خبرة لينضم إلى فريقهم المتنامي. هذا دور رئيسي مسؤول عن معالجة والتحقق من جودة بيانات حالة الرصفة مع ضمان أعلى معايير الدقة والامتثال والتميز الفني عبر مشاريع مسح الرصف. المسؤوليات الرئيسية: - معالجة والتحقق من صحة وتحليل بيانات حالة الرصفة المجمّعة من أنظمة المسح الآلي، مع ضمان الدقة والاتساق والامتثال لمواصفات المشروع. - إجراء مراجعات QA/QC لبيانات الرصفة، وتحديد الت discrepancies، وتنفيذ إجراءات تصحيحية، والحفاظ على وثائق عالية الجودة طوال تسليم المشروع. - إجراء تقييمات حالة الرصفة، وتقييم أضرار الرصفة، ودعم إدارة أصول الرصفة وفقاً لمعايير ASTM D6433، LTPP، وPCI. - استخدام LCMS-2، ROMDAS، Data View، PMS، ومنصات GIS (ArcGIS/QGIS) لمعالجة وإدارة وتصور بيانات مسح الرصفة. - التعاون مع فرق المشروع لإعداد التقارير الفنية، وتقديم تحديثات المشروع، ودعم نجاح تسليم مشاريع هندسة الرصف.</p><p>-درجة البكالوريوس في الهندسة المدنية، هندسة الرصفة، هندسة النقل، أو تخصص ذي صلة -5–10 سنوات من الخبرة في هندسة الرصفة، تقييم حالة الرصفة، أو إدارة أصول الرصفة -خبرة قوية في QA/QC لبيانات حالة الرصفة المعالجة وتقييم أضرار الرصفة -خبرة عملية مع LCMS-2 أمر أساسي -خبرة في مراجعة والتحقق من بيانات أضرار الرصفة، بما في ذلك التكسير، الحفر، الانهيار، النزف، النسيج، والخشونة -فهم جيد لـ ASTM D6433، LTPP، وأنظمة تقييم حالة الرصفة (PCI مفضل) -المألوفية بـ ROMDAS، Data View، أو برامج معالجة بيانات الرصفة المماثلة -الخبرة بنظم إدارة الرصفة (PMS) مرغوبة بشدة -يفضل وجود خبرة في مشاريع مسوحات الرصفة الخليجية أو الدولية -الخبرة مع ARAN، Hawkeye، أو أنظمة جمع بيانات الرصفة الأخرى تعتبر ميزة -معرفة ArcGIS أو QGIS مفيد -مهارات برمجة بايثون أو R الأساسية للتحقق من البيانات أو الأتمتة تعتبر إضافة</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Develop and deliver engaging robotics lessons using Arduino, Raspberry Pi, and 3D printing.</li><li>Teach programming (e.g., Python, C++) and guide hands-on projects.</li><li>Manage robotics kits, tools, and ensure safety in the classroom.</li><li>Track student progress and provide feedback.</li><li>Prepare students for competitions and exhibitions.</li><li>Prepare curriculum for STEM</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Skills Required:</p><p>• Arduino</p><p>• 3D Printing</p><p>• Python</p><p>• Coding &amp; Programming</p><p><br></p><p><strong>Experience Level:</strong> Intermediate/Advance Level</p><p></p></section>

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p>قيادة التحليلات المتقدمة، النمذجة التنبؤية، ومبادرات تعليم الآلة لدعم قرارات العمل والتشغيل.</p><p><strong>المسؤوليات الأساسية:</strong></p><ul><li>تطوير نماذج تنبؤية وإحصائية</li><li>تحديد الاتجاهات والشذوذ وفرص التحسين</li><li>ترجمة Insights البيانات إلى استراتيجيات قابلة للتنفيذ</li><li>دعم نشر حلول التحليلات</li></ul><p><strong>المتطلبات:</strong></p><ul><li>الماجستير أو الدكتوراه في علوم البيانات، الذكاء الاصطناعي، أو مجال ذات صلة</li><li>خبرة 10-13+ سنوات في التحليلات المتقدمة</li><li>برمجة قوية (بايثون، أطر الذكاء الاصطناعي/تعلم الآلة)</li></ul></div></section><section><p class="heading">الملف المطلوب للمرشح</p><p class="paragraph"></p><p>الماجستير أو الدكتوراه في علوم البيانات، الذكاء الاصطناعي، أو مجال ذو صلة 10-13+ سنوات في التحليلات المتقدمة برمجة قوية (بايثون، أطر الذكاء الاصطناعي/تعلم الآلة)</p><p></p></section>

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