Python Developer Jobs in UAE

Company Description This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Junior Data Analyst / Data Scientist to join their remote team and support data-driven decision-making across Financial Services, Retail, E-commerce, Logistics, Business Intelligence, Artificial Intelligence (AI), and Machine Learning (ML). The role is ideal for an early-career data professional who enjoys working with data, identifying meaningful patterns, building analytical solutions, and turning complex datasets into actionable business insights. The successful candidate will work across analytics and data science initiatives, supporting reporting, business intelligence, predictive analytics, experimentation, and machine learning projects.<br>Key responsibilities include:Analyze structured and unstructured datasets using Python, SQL, and statistical methods Perform Exploratory Data Analysis (EDA) to identify trends, patterns, anomalies, and business opportunities Develop recurring reports, dashboards, KPIs, and Business Intelligence (BI) solutions Extract, clean, transform, and validate data from multiple sources Conduct descriptive and statistical analysis to support business decisions Develop basic predictive and Machine Learning (ML) models under the guidance of senior team members Support customer, product, sales, marketing, and operational analytics initiatives Analyze customer behavior, business performance, transactions, and operational metrics Assist with forecasting, segmentation, classification, and predictive analytics projects Design and analyze A/B tests, experiments, and hypothesis tests when required Create data visualizations and communicate insights to technical and non-technical stakeholders Support Artificial Intelligence (AI), automation, and data-driven business initiatives Identify opportunities to improve reporting, analytics workflows, and data quality Collaborate with Product, Engineering, Finance, Marketing, Operations, and Business teams Translate business questions into analytical problems and data-driven recommendations<br>Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or a related quantitative field Strong foundational knowledge of Python and SQLUnderstanding of statistics, probability, and data analysis concepts Experience working with datasets and performing Exploratory Data Analysis (EDA) Familiarity with pandas, Num Py, scikit-learn, or similar Python libraries Experience creating dashboards or reports using Tableau, Power BI, Looker, Metabase, or similar BI tools Strong analytical and problem-solving skills Ability to communicate analytical findings clearly to technical and non-technical stakeholders Strong written and verbal English communication skills Ability to work independently and collaboratively in a remote environment<br>Preferred Qualifications Internship, academic, bootcamp, or project experience in Data Analytics, Data Science, Business Intelligence, or Machine Learning Exposure to Financial Services, Fin Tech, Retail, E-commerce, Logistics, or other data-intensive industries Familiarity with Git and Git Hub Experience using Jupyter Notebook Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Exposure to Big Query, Snowflake, Redshift, Databricks, or other modern data platforms Experience with Excel, Tableau, Power BI, Looker, or similar analytics tools Exposure to Machine Learning, Predictive Analytics, or Statistical Modeling Exposure to Generative AI, Large Language Models (LLMs), or AI-powered applications Git Hub portfolio, Kaggle projects, university projects, bootcamp projects, or personal Data Analytics / Data Science projects

Lead Software Engineer - Backend | Python On-site | Abu Dhabi<br>Applied AI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services. <br>Opus is the world's first Knowledge Work AI platform. Built by Applied AI to pioneer Supervised Automation, a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals.<br>The platform uses its proprietary Large Work Model to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities. <br><br>Position Overview:<br>As a Lead Software Engineer, you will own significant workstreams within the Opus platform, taking full technical accountability from architecture through to production deployment. You will lead a small, cross-functional team of approximately four engineers — spanning backend and frontend disciplines — while remaining deeply hands-on in the design, development, and review of complex backend systems.<br>This is a 70% technical, 30% leadership role suited to an engineer who wants to stay close to the code while growing their impact through others.<br>The ideal candidate brings 8–10+ years of software engineering experience, exceptional depth in Python and backend systems design, and a track record of leading engineers through complex, high-stakes delivery. A grounding in strong software engineering fundamentals is essential; experience applying AI-assisted development tools and workflows is a valued plus.<br><br>Key Responsibilities:<br>Technical Leadership & Systems Design Own the end-to-end technical delivery of assigned platform workstreams, from requirements and architecture through to deployment and post-release iteration. Lead systems design for complex, distributed, high-throughput backend services, ensuring decisions are principled, scalable, and well-documented. Set and enforce architectural standards across your team, including API design, data modelling, service boundaries, and inter-service communication patterns. Provide technical direction and hands-on contribution in equal measure — reviewing code, unblocking engineers, and writing production-grade code yourself. Identify and resolve systemic risks, technical debt, and performance bottlenecks proactively.<br>Backend Engineering Design and build scalable Python microservices using event-driven and asynchronous architectures. Architect and implement high-performance REST APIs using modern Python frameworks (Fast API, Flask, or similar). Lead the design of real-time data streaming and messaging systems (Kafka, Rabbit MQ, Redis Streams, or similar). Oversee asynchronous task processing using distributed task queues (Celery, RQ, or similar). Define and govern ETL workflows and data pipelines using orchestration tools such as Airflow, Prefect, or Dagster. Drive database design and optimisation across relational (Postgre SQL, MySQL) and NoSQL (Mongo DB, Redis) systems for high-throughput, mission-critical workloads. Champion observability, ensuring services are instrumented with appropriate logging, tracing, and monitoring.<br>Code Quality & Architecture Establish and uphold engineering standards for code quality, testing, and documentation across your team. Lead code reviews with a focus on correctness, maintainability, and architectural integrity. Apply and advocate for SOLID principles, domain-driven design, and modular architecture practices. Drive modernisation and refactoring efforts on legacy components where required.<br>Team Leadership & Collaboration Lead, mentor, and develop a team of c. four engineers, fostering a culture of ownership, rigour, and continuous improvement. Conduct regular 1:1s, provide constructive feedback, and support the career growth of your direct reports. Partner closely with product managers, frontend engineers, ML teams, and Dev Ops to deliver features end-to-end. Communicate project status, risks, and technical decisions clearly to stakeholders and engineering leadership.<br>Dev Ops & Delivery Champion CI/CD best practices and contribute to deployment automation and pipeline maturity. Oversee containerised application deployment using Docker and Kubernetes across multiple environments. Ensure secure, reliable, and observable services in line with the demands of regulated industry deployments.<br>Continuous Learning & Innovation Stay current with advances in backend engineering, distributed systems, and developer tooling — including AI-assisted development practices. Evaluate and propose new technologies and approaches that can improve platform quality or engineering velocity. Share knowledge across the wider engineering organisation through documentation, presentations, and mentorship.<br><br>Qualifications:<br>Experience:8–10+ years of software engineering experience, with strong seniority in backend and distributed systems development. Demonstrated experience leading engineering teams or workstreams, with direct line management or technical lead responsibility. Proven track record of owning complex software projects end-to-end in a production environment.<br>Skills:Deep expertise in Python; proficiency in Type Script and Node.js (Nest JS, Next.js) is advantageous. Strong command of systems design principles: distributed architectures, event-driven systems, API design, and data modelling, with sufficient frontend exposure (React, Next.js, or similar) to lead and collaborate effectively across a mixed backend/frontend team. Experience with SQL (Postgre SQL) and NoSQL (Mongo DB, Redis) databases. Solid understanding of authentication and authorisation patterns (OAuth2, JWT, RBAC). Proficient with Git, Docker, and CI/CD tooling; exposure to Kubernetes and cloud platforms (AWS/GCP) is a plus. Comfortable leading in an agile, fast-paced product environment. Experience with or interest in AI-assisted development tools and workflows is a plus; strong engineering fundamentals are the foundation.<br>Education:<br>Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience.<br><br>Benefits:Opportunity to work with a leading AI technology company. Collaborative and innovative work environment. Growing, entrepreneurial and forward-thinking culture. Career growth and professional development opportunities. Exposure to a thriving ecosystem working from our Abu Dhabi HQ.21 days of paid annual leave. Comprehensive private health insurance. Visa sponsorship for international candidates.

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!