Python Developer Jobs in UAE

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a part-time basis. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.<br>Key Responsibilities:• Work with structured and unstructured datasets to support SWE bench-style evaluation tasks• Design, build, and validate data pipelines used in benchmarking and evaluation workflows• Perform data processing, analysis, feature preparation, and validation for data science use cases• Write, run, and modify Python code to process data and support experiments locally• Evaluate data quality, transformations, and outputs for correctness and reproducibility<br>Required Skills & Qualifications:• Minimum 3+ years of overall experience as a data engineer, data scientist, or software engineer (data-focused)• Strong proficiency in Python for data engineering and data science workflows• Demonstrated experience with data processing, analysis, and model-related workflows• Ability to design, build, and validate data pipelines for benchmarking and evaluation workflows• Experience with code reviews to ensure high standards of code quality and maintainability<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Research Services industry, contributing to the evaluation and improvement of advanced AI systems. Collaboration with researchers and engineers will focus on designing real-world data tasks for AI benchmarking.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a part-time basis. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.<br>Key Responsibilities:• Work with structured and unstructured datasets to support SWE bench-style evaluation tasks• Design, build, and validate data pipelines used in benchmarking and evaluation workflows• Perform data processing, analysis, feature preparation, and validation for data science use cases• Write, run, and modify Python code to process data and support experiments locally• Evaluate data quality, transformations, and outputs for correctness and reproducibility<br>Required Skills & Qualifications:• Minimum 3+ years of overall experience as a data engineer, data scientist, or software engineer (data-focused)• Strong proficiency in Python for data engineering and data science workflows• Demonstrated experience with data processing, analysis, and model-related workflows• Ability to design, build, and validate data pipelines for benchmarking and evaluation workflows• Experience with code reviews to ensure high standards of code quality and maintainability<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Research Services industry, contributing to the evaluation and improvement of advanced AI systems. Collaboration with researchers and engineers will focus on designing real-world data tasks for AI benchmarking.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Job Purpose<br><br>The GIS Developer will be responsible for designing, developing, implementing, and supporting Enterprise Geographic Information System (GIS) solutions that enable digital asset management, property management, infrastructure planning, and spatial analytics across DP World business units.<br><br>The role requires expertise in Esri Arc GIS Enterprise, Arc GIS Pro, Web App Builder, Experience Builder, Survey123, Field Maps, Arc GIS Online, Python, . NET, REST APIs, SQL Server, and spatial databases to deliver scalable GIS applications and enterprise integrations.<br><br>The resource will work closely with business stakeholders to automate spatial workflows, integrate GIS with enterprise applications such as Oracle CX CRM, CAFM, MIMS, SAP, and other corporate systems, enabling real-time visualization, decision-making, and operational excellence.<br><br>Principal Responsibilities<br><br>(List approx. 10 points of ‘what’ and ‘why’ tasks will be performed in this position. Duties should be presented in order of importance.)<br><br> Design, develop, and maintain Enterprise GIS solutions using Arc GIS Enterprise, Arc GIS Pro, and Esri development technologies. Develop GIS web applications, dashboards, and mobile applications using Experience Builder, Web App Builder, Arc GIS Java Script API, and Field Maps. Design and implement GIS integrations with Oracle CX CRM, CAFM, MIMS, SAP, and other enterprise applications using REST APIs and middleware. Develop automation scripts using Python, Arc Py, and Model Builder to streamline GIS data management and business workflows. Design, manage, and maintain enterprise geodatabases ensuring data integrity, performance, and security. Support GIS migration, upgrades, and platform modernization activities including Arc GIS Enterprise infrastructure. Perform GIS spatial analysis, mapping, reporting, and visualization to support business operations and strategic planning. Support SIT, UAT, production deployments, issue resolution, and application performance optimization. Collaborate with business users, vendors, and IT teams to gather requirements, provide technical recommendations, and implement GIS solutions. Participate in Agile/Scrum activities, prepare technical documentation, provide effort estimates, and contribute to continuous improvement initiatives.

Role: Machine Learning Engineer - Computer Vision (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients in the AI research space, seeking a Python Machine Learning Engineer to drive the design, development, and delivery of advanced machine learning solutions. The role requires both strong individual contributions and technical leadership to set direction, mentor team members, and align ML initiatives with business goals.<br>Key Responsibilities:• Own end-to-end machine learning solution development, from data pipelines and model design to deployment and monitoring.• Translate business objectives into robust ML architectures that accurately capture business logic and context.• Collaborate cross-functionally with product, engineering, and business stakeholders to define problem statements and success metrics.• Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.• Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes.<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in computer science, machine learning, AI, statistics, or a related quantitative field.• 4+ years of hands-on data science and machine learning development experience.• Proficiency in supervised and unsupervised learning, time-series forecasting, and natural language processing.• Expertise in Python and core libraries such as pandas, numpy, scikit-learn, PyTorch, and Keras.• Strong understanding of data preprocessing, feature engineering, and model tuning.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in AI research, contributing to the development of proprietary intelligence systems that drive measurable business impact. The position involves applying cutting-edge research to real-world applications across diverse domains.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

About Dubai Holding Group Services Dubai Holding Group Services is the shared-services arm of Dubai Holding, a globally diversified investment company that plays a pivotal role in shaping Dubai's economy across various sectors including real estate, hospitality, and technology. Our commitment to operational excellence empowers Dubai Holding's diverse portfolio of businesses to flourish and leave a lasting positive impact on the region. About the Job: We are seeking a Backend Developer (Python) to join our Engineering team, where you will design and maintain scalable microservices for our enterprise solutions. The main duties and responsibilities include: - Design, implement, and maintain scalable microservices to support business requirements - Optimize database queries and schemas for enhanced performance and reliability - Lead code reviews and actively participate in architectural decision-making processes - Collaborate with frontend, Dev Ops, and product teams for seamless end-to-end solutions - Ensure adherence to best practices in code quality, security, and thorough documentation - Mentor junior developers while fostering a culture of technical excellence About you: Essential: - Minimum 5 years of professional experience in Python backend development - Extensive hands-on experience with Django or Fast API frameworks - Strong proficiency in Postgre SQL, including database optimization techniques - Solid understanding and practical experience with Docker for containerization - Proven technical leadership skills with the ability to influence architectural decisions Desired: - Experience with AWS or other cloud platforms - Familiarity with Kubernetes for orchestration and management - Knowledge of g RPC for effective inter-service communication About the Benefits: At Dubai Holding Group Services, you will have opportunities for growth within a dynamic international team. We pride ourselves on fostering an inclusive and discrimination-free workplace where diverse talents can collaborate and thrive together.<br><br>Apply here: https://rh-agent.api.sofiatechnology.ai/jobs/backend-developer

About Dubai Holding Group Services Dubai Holding Group Services is the shared-services arm of Dubai Holding, a globally diversified investment company that plays a pivotal role in shaping Dubai's economy across various sectors including real estate, hospitality, and technology. Our commitment to operational excellence empowers Dubai Holding's diverse portfolio of businesses to flourish and leave a lasting positive impact on the region. About the Job: We are seeking a Backend Developer (Python) to join our Engineering team, where you will design and maintain scalable microservices for our enterprise solutions. The main duties and responsibilities include: - Design, implement, and maintain scalable microservices to support business requirements - Optimize database queries and schemas for enhanced performance and reliability - Lead code reviews and actively participate in architectural decision-making processes - Collaborate with frontend, Dev Ops, and product teams for seamless end-to-end solutions - Ensure adherence to best practices in code quality, security, and thorough documentation - Mentor junior developers while fostering a culture of technical excellence About you: Essential: - Minimum 5 years of professional experience in Python backend development - Extensive hands-on experience with Django or Fast API frameworks - Strong proficiency in Postgre SQL, including database optimization techniques - Solid understanding and practical experience with Docker for containerization - Proven technical leadership skills with the ability to influence architectural decisions Desired: - Experience with AWS or other cloud platforms - Familiarity with Kubernetes for orchestration and management - Knowledge of g RPC for effective inter-service communication About the Benefits: At Dubai Holding Group Services, you will have opportunities for growth within a dynamic international team. We pride ourselves on fostering an inclusive and discrimination-free workplace where diverse talents can collaborate and thrive together.<br><br>Apply here: https://rh-agent.api.sofiatechnology.ai/jobs/backend-developer

Role: Data Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a part-time basis. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.<br>Key Responsibilities:• Work with structured and unstructured datasets to support SWE bench-style evaluation tasks• Design, build, and validate data pipelines used in benchmarking and evaluation workflows• Perform data processing, analysis, feature preparation, and validation for data science use cases• Write, run, and modify Python code to process data and support experiments locally• Evaluate data quality, transformations, and outputs for correctness and reproducibility<br>Required Skills & Qualifications:• Minimum 3+ years of overall experience as a data engineer, data scientist, or software engineer (data-focused)• Strong proficiency in Python for data engineering and data science workflows• Demonstrated experience with data processing, analysis, and model-related workflows• Ability to design, build, and validate data pipelines for benchmarking and evaluation workflows• Experience with code reviews to ensure high standards of code quality and maintainability<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Research Services industry, contributing to the evaluation and improvement of advanced AI systems. Collaboration with researchers and engineers will focus on designing real-world data tasks for AI benchmarking.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer - Computer Vision (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients in the AI research space, seeking a Python Machine Learning Engineer to drive the design, development, and delivery of advanced machine learning solutions. The role requires both strong individual contributions and technical leadership to set direction, mentor team members, and align ML initiatives with business goals.<br>Key Responsibilities:• Own end-to-end machine learning solution development, from data pipelines and model design to deployment and monitoring.• Translate business objectives into robust ML architectures that accurately capture business logic and context.• Collaborate cross-functionally with product, engineering, and business stakeholders to define problem statements and success metrics.• Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.• Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes.<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in computer science, machine learning, AI, statistics, or a related quantitative field.• 4+ years of hands-on data science and machine learning development experience.• Proficiency in supervised and unsupervised learning, time-series forecasting, and natural language processing.• Expertise in Python and core libraries such as pandas, numpy, scikit-learn, PyTorch, and Keras.• Strong understanding of data preprocessing, feature engineering, and model tuning.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in AI research, contributing to the development of proprietary intelligence systems that drive measurable business impact. The position involves applying cutting-edge research to real-world applications across diverse domains.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Algorithm Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $45 - $65/hour<br>Role Overview:We are hiring for one of our clients, seeking a Competitive Programmer to work on a contract basis. The role involves solving complex algorithmic problems and optimizing code for performance in competitive programming environments. Candidates will participate in coding challenges and algorithm design competitions.<br>Key Responsibilities:• Design, implement, and optimize algorithms to solve time-sensitive computational problems.• Participate in structured coding competitions with strict time and scoring constraints.• Analyze problem requirements and constraints to determine optimal solution approaches.• Write efficient, clean, and well-documented code in programming languages such as C++, Python, or Java.• Collaborate with peers to review solutions and improve problem-solving strategies.• Maintain high performance under competitive pressure with consistent accuracy.<br>Required Skills & Qualifications:• Proficiency in competitive programming platforms such as Codeforces, AtCoder, or Leet Code.• Strong knowledge of data structures including trees, graphs, heaps, and hash tables.• Deep understanding of algorithmic paradigms such as dynamic programming, greedy methods, and divide-and-conquer.• Experience with competitive programming languages including C++, Python, or Java.• Ability to solve problems under time constraints with high accuracy.• Familiarity with version control systems such as Git.• Experience with mathematical problem-solving and number theory concepts.• Background in algorithmic competitions or related academic/professional work.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of high-performance algorithmic solutions under competitive conditions. The position requires consistent analytical rigor and problem-solving speed.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Overview<br><br>Role : <br><br>We’re looking for a Dev Ex / Dev Ops Engineer to join the Infrastructure team to evolve our build, test, and deployment systems. You’ll design scalable pipelines, reduce cycle time, and raise the bar on security and observability across our delivery workflows. You’ll collaborate with engineers across the company to understand their tech stack challenges and deployment requirements and improve processes to make shipping feel effortless<br><br>Responsibilities<br><br>Design, build, and maintain CI/CD pipelines (Git Hub Actions) for microservices (Python / Go / Java / Kotlin / Type Script) and Unity applications Implement pipeline templates and reusable workflows to minimize pipeline duplication across repos Integrate security into delivery (SAST/DAST, dependency scanning, secret scanning, SBOM generation). Improve build performance (caching, parallelization) Improve release automation (versioning, approvals, migrations, feature flags, release notes) Partner with engineers to improve developer experience (local dev parity, preview environments, PR checks, AI-driven workflows) Build observability around pipelines and deployments (metrics, logs, alerts, dashboards) Support incident response for deployment and release issues Continuously evaluate tools and practices to keep our delivery stack modern and cost-effective<br><br>Qualifications<br><br>3+ years in Dev Ex, Dev Ops, SRE or Platform Engineering Strong hands-on experience with scripting and automation (Bash plus one of Node, Go, or Python) Strong knowledge of Git Hub and Git Hub Actions Strong debugging skills across CI logs, build systems, and runtime environments Strong knowledge of containers (Docker) Hands-on experience with Kubernetes Hands-on experience deploying to cloud infrastructure (AWS/GCP/Azure), including IAM and networking Infrastructure-as-Code experience (Terraform preferred)<br><br>Nice to Have<br><br>Experience with monorepos and advanced build systems (Bazel, Nx, Turborepo, Pants) Experience administering Git Hub Enterprise Server (self-hosted) Experience administering self-hosted JFrog Artifactory (and related JFrog tooling) Supply chain security (SLSA, Sigstore, provenance, signing, attestations) Observability tooling (Prometheus/Grafana, Datadog, Open Telemetry)