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

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

<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></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><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><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements:</h2><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><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Qatar Environment &amp; Energy Research Institute (QEERI) is seeking a highly motivated and impact-driven Research Scientist to join our multidisciplinary team tackling critical environmental challenges related to the impacts of atmospheric aerosols on climate in arid regions. We are particularly interested in candidates with a strong research track record in and passionate about understanding quantifying climate effects of aerosols including new particle formation, aerosol cloud, optical properties and aerosol cloud interactions. The successful candidate will support and lead applied research that combines advanced measurement and characterization in coordination with our existing state-of-the-art air quality and atmospheric composition capabilities and utilize them to advance modelling tools and capabilities. This role plays a key part in shaping our environmental health initiatives and supporting evidence-based indoor air quality policy, guidelines and standards.</p><p>Lead the data analysis, interpretation of existing datasets on aerosol and climate effects and exploit them to advance the understanding and impact of this topic in arid regions. Design, execute, and lead field measurement campaigns characterising atmospheric aerosol properties including new particle formation events, size distributions, optical properties, and chemical composition. Investigate aerosol cloud interactions and their radiative forcing implications in arid and semi-arid environments, with a focus on the Arabian Peninsula. Help integrate observational data with regional and global atmospheric models to quantify aerosol climate effects and improve predictive capabilities. Publish high-quality, peer-reviewed research in leading international journals and present findings at major scientific conferences. Engage in capacity building and stakeholder impact, including technical reporting and knowledge transfer to public institutions and policymakers. Lead and contribute to competitive research funding applications at national and international levels. Contribute to the mentorship and supervision of postgraduate students, research assistants, and early-career researchers.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>PhD in relevant scientific or technical fields such as Atmospheric Science, Environmental, Chemical or Mechanical Engineering, Environmental Science, Physics, Chemistry or related areas.</li><li>Demonstrated expertise and research experience in related fields for a minimum of 3 years post PhD.</li><li>Proficiency with data analysis tools such as Python, R, MATLAB, IGOR Pro or equivalent platforms.</li><li>Experience in designing or conducting field measurements and troubleshooting of research grade instruments.</li><li>Hands-on experience with aerosol measurement instrumentation (e.g. SMPS, CCN, ACMS, nephelometer, aethalometer, and other related instruments).</li><li>Proven record of peer-reviewed publications and contributions to environmental research or applied health studies.</li><li>Ability to work independently and lead research activities within a collaborative, multidisciplinary environment.</li><li>Strong communication skills and a collaborative mindset, including experience engaging with national stakeholders, regulators, or multidisciplinary teams.</li><li>Experience with or demonstrable understanding of atmospheric modelling frameworks</li><li>Experience with science-policy interfaces, including developing technical inputs for environmental health guidelines.</li><li>Demonstrated ability to secure research funding, lead collaborative projects, and manage deliverables.</li></ul><p></p></section>

<p>Guildhall is currently supporting a leading engineering company in Doha, Qatar on major road infrastructure and pavement asset management projects. We are currently recruiting for an experienced Pavement Data Collection / Processing Engineer to join their growing team. This is a key role responsible for processing, validating, and quality checking pavement condition data while ensuring the highest standards of accuracy, compliance, and technical excellence across pavement survey projects. Key Responsibilities: - Process, validate, and analyze pavement condition data collected from automated survey systems, ensuring accuracy, consistency, and compliance with project specifications. - Perform QA/QC reviews of pavement data, identify discrepancies, implement corrective actions, and maintain high-quality documentation throughout project delivery. - Conduct pavement condition assessments, evaluate pavement distresses, and support pavement asset management in accordance with ASTM D6433, LTPP, and PCI standards. - Utilize LCMS-2, ROMDAS, Data View, PMS, and GIS platforms (ArcGIS/QGIS) to process, manage, and visualize pavement survey data. - Collaborate with project teams to prepare technical reports, provide project updates, and support the successful delivery of pavement engineering projects.</p><p>-Bachelor's Degree in Civil Engineering, Pavement Engineering, Transportation Engineering, or a related discipline -5–10 years of experience in pavement engineering, pavement condition assessment, or pavement asset management -Strong experience in QA/QC of processed pavement condition data and pavement distress rating -Hands-on experience with LCMS-2 is essential -Experience reviewing and validating pavement distress data, including cracking, rutting, ravelling, bleeding, texture, and roughness -Good understanding of ASTM D6433, LTPP, and pavement condition rating systems (PCI preferred) -Familiarity with ROMDAS, Data View, or similar pavement data processing software -Experience with Pavement Management Systems (PMS) is highly desirable -GCC or international pavement survey project experience is preferred -Experience with ARAN, Hawkeye, or other pavement data collection systems is an advantage -Knowledge of ArcGIS or QGIS is beneficial -Basic Python or R scripting skills for data validation or automation are a plus</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">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>

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

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