Python Developer Jobs in UAE

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<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: Senior Fullstack Developer Salary: AED 10K to 13KLocation: Dubai, UAE<br>As a Senior Fullstack Developer, you will:Design, build, and maintain scalable applications with a focus on React for responsive, user-friendly, and accessible interfaces. Develop efficient product data workflows, enabling users to validate and share product information. Build and maintain Python/Django backend systems for data aggregation, transformation, and partner integrations (via APIs or dedicated pipelines). Integrate with leading BI and enterprise platforms such as Snowflake, Salesforce, and Tableau.<br>Candidate profile English proficiency level B1, enabling effective communication and active participation in daily meetings, sprint planning, backlog refinement, sprint reviews, and discussions with Product Managers and the Tech Lead. At least 4 years of hands-on experience in fullstack development using React (Type Script) and Python (Django). Proficiency in working with relational databases, particularly Postgre SQL. Solid understanding of API-first architectures and integration best practices. Strong analytical thinking for interpreting documentation and designing integrations. Bonus skills:Experience with Django Ninja and Celery for background processing. Advanced React experience, including RTK Query for data fetching and caching.

Jackpot.com<br><br>Director of Data & Analytics<br><br>Remote Remote Posted less than 1 day ago<br><br>Analytics<br><br>Consumer Services<br><br>100–1000 employees<br><br>Marketing Technology Airflow Fraud Actionable Insights Python Fivetran Data Engineering Causal reasoning and diagnostics A/B Testing Kinesis<br><br>Apply

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for an experienced Senior DevOps Engineer to join a technology engineering team supporting enterprise-scale platforms and advanced analytics environments.<br> The role will focus on building and managing automated CI/CD pipelines, containerized platforms, infrastructure automation, security integration, and production engineering across highly available and regulated environments.<br> The ideal candidate will have strong hands-on experience with Jenkins, GitHub Actions, ArgoCD, Kubernetes/OpenShift, Docker, Helm, Terraform, Ansible, Groovy, Python, Linux, and Git , with a strong understanding of DevOps, SRE, Infrastructure as Code, security engineering, and Agile delivery practices.<br> We are looking for someone who enjoys collaboration, experimentation, solving problems, and continuously learning .<br> Key Responsibilities Design, build, maintain, and optimize automated CI/CD pipelines for Python-based applications and microservices.<br> Develop and manage CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD .<br> Build and maintain microservices CI/CD pipelines using modern DevOps practices.<br> Develop and maintain Helm-based deployment pipelines for containerized applications.<br> Automate application deployment, configuration management, infrastructure provisioning, and operational processes.<br> Implement and maintain GitOps-based deployment workflows using tools such as ArgoCD.<br> Automate security, compliance, and regulatory checks within CI/CD pipelines.<br> Integrate DevSecOps tools into CI/CD pipelines, including tools such as SonarQube, Checkmarx, Sysdig, Nexus, Nexus IQ, Cosign , and related security/quality tooling.<br> Implement automated patching and configuration management across environments.<br> Design, deploy, and manage containerized applications using Docker, Kubernetes, OpenShift, and Podman .<br> Work with Terraform, Ansible , and other Infrastructure as Code (IaC) tools to provision and manage environments.<br> Develop automation scripts using Groovy, Python, and Linux shell scripting .<br> Support API development and integration within deployment and automation pipelines.<br> Troubleshoot and resolve infrastructure, application, deployment, and pipeline-related issues.<br> Provide production support and participate in on-call/production support rotations where required.<br> Monitor application and platform health using tools such as ELK, Prometheus, and Grafana .<br> Implement and maintain secure authentication and authorization mechanisms for microservices.<br> Collaborate with development, security, infrastructure, platform, and product teams to ensure successful delivery and adoption of technology platforms.<br> Support application and platform onboarding through self-service and automation.<br> Work with teams to ensure smooth transition, adoption, and consumption of platform services.<br> Contribute to technical design discussions, engineering standards, automation strategies, and platform improvements.<br> Continuously evaluate emerging technologies and industry best practices to improve engineering efficiency and platform capabilities.<br> Required Technical SkillsCI/CD &amp; DevOps Strong hands-on experience with CI/CD pipelines .<br> Experience with Jenkins and/or GitHub Actions .<br> Experience with ArgoCD / GitOps .<br> Strong understanding of pipeline automation using Groovy, Python, or Pipeline-as-Code .<br> Experience building CI/CD pipelines for microservices and Python-based applications .<br> Experience with Helm-based deployment pipelines .<br> Understanding of DevOps and SRE principles .<br> Strong understanding of 12-Factor application principles .<br> Containers &amp; Orchestration Strong hands-on experience with Docker .<br> Experience with Kubernetes and/or OpenShift .<br> Exposure to Podman .<br> Experience deploying and managing containerized applications in enterprise environments.<br> Infrastructure as Code &amp; Automation Hands-on experience with Terraform .<br> Experience with Ansible .<br> Strong scripting experience using: Groovy Python Linux Shell/Bash Security &amp; DevSecOps Experience integrating security and compliance checks into CI/CD pipelines.<br> Knowledge of DevSecOps practices and security engineering.<br> Exposure to tools such as: SonarQube Checkmarx Sysdig Nexus Nexus IQ Cosign Understanding of secure software delivery and regulatory requirements.<br> Cloud &amp; Infrastructure Strong understanding of infrastructure, networking, and cloud computing concepts.<br> Hands-on or working experience with public cloud platforms such as: Microsoft Azure AWS OCI Understanding of cloud services across compute, storage, and networking .<br> Operating Systems &amp; Source Control Strong knowledge of Linux/Unix operating systems .<br> Good experience with Linux shell scripting.<br> Strong experience with Git and source-control practices.<br> Working knowledge of Windows environments is desirable.<br> Monitoring &amp; Observability Experience with logging, monitoring, and observability platforms such as: ELK Prometheus Grafana APIs &amp; Microservices Understanding of REST/API development and integration .<br> Experience working with microservices architectures .<br> Understanding of microservice authentication and authorization .<br> Experience integrating APIs into CI/CD and automation workflows.<br> Required Experience 3–5+ years of engineering, DevOps, platform engineering, or operational experience.<br> At least 3 years of relevant experience in a similar DevOps/Platform Engineering role.<br> Experience working within large, complex, highly available enterprise environments .<br> Experience supporting systems with high availability, transaction volumes, and geographically distributed environments is preferred.<br> Strong experience in CI/CD, containerization, infrastructure automation, and production support .<br> Domain Experience Candidates from the following environments are preferred: Banking Financial Services FinTech Insurance Telecommunications Healthcare Government Or other highly regulated / enterprise environments Nice to Have Public cloud experience with Azure, AWS, or OCI .<br> Experience supporting Machine Learning / ML projects or analytics platforms.<br> Python programming experience.<br> Experience with advanced analytics or data engineering platforms.<br> Exposure to enterprise platform engineering and self-service infrastructure.<br> Experience implementing cost optimization and platform efficiency initiatives.<br> Agile &amp; Delivery Experience working in Agile engineering environments .<br> Understanding of Agile/DevOps delivery methodologies.<br> Ability to work across development, operations, security, infrastructure, and product teams.<br> Experience managing delivery from inception through production .<br> Strong understanding of operational support within a DevOps/SRE model.<br> Ability to work under pressure and manage multiple priorities.<br> Strong troubleshooting, incident management, and problem-solving skills.<br> Key Behavioral Competencies We are looking for someone who: Enjoys collaboration and cross-functional teamwork.<br> Likes to experiment with new technologies and approaches.<br> Focuses on understanding the problem , not just implementing a solution.<br> Is a self-starter with strong initiative.<br> Remains calm under pressure .<br> Takes ownership of delivery and operational outcomes.<br> Has a pragmatic but engineering-focused approach to problem solving.<br> Is eager to learn and adapt to new technologies.<br> Has strong communication and articulation skills.<br> Can build professional and trusted relationships with technical and business stakeholders.<br></span> </div>

Exciting Opportunity Alert! ???? HTC Global Services is hiring AI Engineer for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).<br>HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.<br>Key Responsibilities Build and maintain LLM driven enterprise level applications in real production environment. Design and develop MCP tools using Python, Fast API, or similar frameworks· Maintain multiple MCP services and LLM integrations.· Develop Angular-based conversational user interfaces with real-time updates. Design scalable architectures capable of supporting high concurrency. Implement monitoring, logging, and tracing for AI workflows. Continuously optimize latency, cost, and response quality. Implement and support multi-agent architectures with context sharing and orchestration Implement Web Socket-based communication for streaming AI responses Use Redis for caching, session management, and conversation memory Maintain scalable services for conversation state, workflow, and memory handling· Strong understanding of API contracts and schema-driven development. Understanding of Prompt engineering, Structured outputs, Tool calling patterns, Model limitations and failure modes.· Good Understanding of Agent orchestration patterns, Role-based agents, Task decomposition, Coordination and fallback mechanisms. Technical Skills Frontend:Angular / React RxJS and reactive programming Real-time UI updates using Web Sockets Backend:Python Fast API / async services API and middleware development AI & Platform:LLM integrations and tool calling MCP / Fast MCPLang Chain, Lang Graph Multi-agent architectures Systems & Infrastructure:Distributed systems and scalability concepts Web Sockets, event-driven systems Redis (caching, session, memory) Databases: Cosmos DB, Mongo DBVector databases: Pinecone or similar Cloud & Dev Ops:Azure, Azure AI Foundry Azure Git Hub (PRs, branching, CI/CD pipelines)<br>Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.<br>#HTCGlobal Services #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #AIEngineer #LLM #RAG #MCP #fast MCP #Python

Exciting Opportunity Alert! ???? HTC Global Services is hiring AI Engineer for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).<br>HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.<br>Key Responsibilities Build and maintain LLM driven enterprise level applications in real production environment. Design and develop MCP tools using Python, Fast API, or similar frameworks· Maintain multiple MCP services and LLM integrations.· Develop Angular-based conversational user interfaces with real-time updates. Design scalable architectures capable of supporting high concurrency. Implement monitoring, logging, and tracing for AI workflows. Continuously optimize latency, cost, and response quality. Implement and support multi-agent architectures with context sharing and orchestration Implement Web Socket-based communication for streaming AI responses Use Redis for caching, session management, and conversation memory Maintain scalable services for conversation state, workflow, and memory handling· Strong understanding of API contracts and schema-driven development. Understanding of Prompt engineering, Structured outputs, Tool calling patterns, Model limitations and failure modes.· Good Understanding of Agent orchestration patterns, Role-based agents, Task decomposition, Coordination and fallback mechanisms. Technical Skills Frontend:Angular / React RxJS and reactive programming Real-time UI updates using Web Sockets Backend:Python Fast API / async services API and middleware development AI & Platform:LLM integrations and tool calling MCP / Fast MCPLang Chain, Lang Graph Multi-agent architectures Systems & Infrastructure:Distributed systems and scalability concepts Web Sockets, event-driven systems Redis (caching, session, memory) Databases: Cosmos DB, Mongo DBVector databases: Pinecone or similar Cloud & Dev Ops:Azure, Azure AI Foundry Azure Git Hub (PRs, branching, CI/CD pipelines)<br>Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.<br>#HTCGlobal Services #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #AIEngineer #LLM #RAG #MCP #fast MCP #Python

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> ' : - ( - ) Experience: 7+ yrs Location: Abu Dhabi, United Arab Emirates Job Type: Full-time We are seeking a Senior AI/ML Engineer to design, develop, and deploy production-grade AI and machine learning solutions for financial services use cases.<br> This is a hands-on role for an experienced professional with strong expertise in Python, Machine Learning, Generative AI, LLMs, RAG, Agentic AI, and Data Engineering .<br> The ideal candidate will be comfortable transforming complex business and financial requirements into scalable AI-powered applications.<br> You will work closely with finance, quantitative, technology, and business teams to develop practical solutions across areas such as risk, credit, compliance, treasury, markets, and financial reporting.<br> Key Responsibilities Design, develop, and deploy AI/ML and Generative AI solutions for financial services use cases.<br> Build LLM applications, RAG pipelines, AI agents, document intelligence solutions, and workflow automation tools .<br> Develop scalable Python-based APIs, model services, dashboards, and data pipelines.<br> Work with financial datasets, including transaction data, credit data, market data, financial statements, and unstructured documents.<br> Support AI solutions across risk management, credit, treasury, compliance, markets, corporate banking, and management reporting.<br> Prototype innovative AI solutions rapidly and transform successful prototypes into production-grade applications.<br> Design and implement solutions using technologies such as Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, FastAPI, Flask, Streamlit, LangChain, LangGraph, LlamaIndex, vector databases, embeddings, and RAG .<br> Build and integrate cloud-native solutions using Azure, AWS, or GCP , along with Docker, Kubernetes, Git, and CI/CD practices.<br> Collaborate with finance and quantitative teams to translate complex methodologies into practical software solutions.<br> Implement appropriate testing, logging, monitoring, security, and basic MLOps practices.<br> Work with cross-functional teams to understand business requirements and deliver scalable solutions.<br> Mentor junior engineers, developers, and analysts on coding standards, modelling practices, testing, and deployment.<br> What Makes You a Great Fit 7+ years of experience in AI/ML Engineering, Data Science, Software Engineering, or Analytics Engineering .<br> Strong hands-on expertise in Python and modern machine learning frameworks.<br> Proven experience building and deploying real-world AI/ML applications rather than working exclusively with notebooks or prototypes.<br> Strong understanding of LLMs, Generative AI, RAG, agentic workflows, NLP, embeddings, vector databases, or document intelligence .<br> Experience developing APIs, data pipelines, dashboards, and production-grade model services.<br> Familiarity with SQL, structured databases, cloud platforms, containers, CI/CD, testing, and deployment practices.<br> Strong problem-solving and analytical skills with the ability to work through ambiguous business challenges.<br> Ability to communicate effectively with both technical teams and finance/business stakeholders.<br> Exposure to banking, fintech, payments, insurance, asset management, consulting, or capital markets is highly valuable.<br> Knowledge of financial use cases such as credit risk, fraud, KYC, treasury, trading, portfolio analytics, regulatory reporting, or financial document processing is an advantage.<br> A practical, delivery-focused mindset with the ability to build solutions quickly and continuously improve them for production use.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Implement and manage CI/CD pipelines to automate software delivery and ensure fast, reliable releases.</li><li>Collaborate with development teams to enhance system architecture for performance and scalability.</li><li>Monitor application and infrastructure performance, troubleshooting issues proactively to maintain uptime.</li><li>Manage container orchestration platforms like Kubernetes to streamline deployment processes.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's degree in Computer Science, Engineering, or related field, providing a strong technical foundation.</p></li><li><p>5 years of relevant work experience in software development, systems administration, or similar roles.</p></li><li><p>Certifications such as AWS Certified DevOps Engineer or Docker Certified Associate to validate expertise.</p></li><li><p>Experience with scripting languages like Python, Bash, or Ruby to automate tasks efficiently.</p></li></ul><p></p></section>

Role: Software Developer - Python (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 Software Developer to work on a contract basis to design, develop, test, and maintain software solutions.<br>Key Responsibilities:• Design and implement scalable software systems using modern programming languages and frameworks.• Write clean, efficient, and maintainable code following best practices.• Collaborate with cross-functional teams to gather and analyze requirements.• Debug, troubleshoot, and optimize software performance.• Participate in code reviews and contribute to architectural decisions.<br>Required Skills & Qualifications:• Proficiency in programming languages such as Python, Java, or Java Script.• Experience with software development methodologies and tools.• Strong problem-solving and analytical skills.• Familiarity with version control systems like Git.• Ability to work independently and manage multiple priorities.<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 software solutions. The position supports critical projects that drive innovation and efficiency.<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: Software Developer - Python (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 Software Developer to work on a contract basis to design, develop, test, and maintain software solutions.<br>Key Responsibilities:• Design and implement scalable software systems using modern programming languages and frameworks.• Write clean, efficient, and maintainable code following best practices.• Collaborate with cross-functional teams to gather and analyze requirements.• Debug, troubleshoot, and optimize software performance.• Participate in code reviews and contribute to architectural decisions.<br>Required Skills & Qualifications:• Proficiency in programming languages such as Python, Java, or Java Script.• Experience with software development methodologies and tools.• Strong problem-solving and analytical skills.• Familiarity with version control systems like Git.• Ability to work independently and manage multiple priorities.<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 software solutions. The position supports critical projects that drive innovation and efficiency.<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: Software Developer - Python (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 Software Developer to work on a contract basis to design, develop, test, and maintain software solutions.<br>Key Responsibilities:• Design and implement scalable software systems using modern programming languages and frameworks.• Write clean, efficient, and maintainable code following best practices.• Collaborate with cross-functional teams to gather and analyze requirements.• Debug, troubleshoot, and optimize software performance.• Participate in code reviews and contribute to architectural decisions.<br>Required Skills & Qualifications:• Proficiency in programming languages such as Python, Java, or Java Script.• Experience with software development methodologies and tools.• Strong problem-solving and analytical skills.• Familiarity with version control systems like Git.• Ability to work independently and manage multiple priorities.<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 software solutions. The position supports critical projects that drive innovation and efficiency.<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!

<ul><li><p>Build and maintain Python/Django services on Azure Container Apps, including booking confirmation workflows, mailbox ingestion and AI classification</p></li><li><p>Develop a TypeScript monorepo using NestJS, Next.js and Prisma to power our B2B experience platform</p></li><li><p>Build and maintain supplier and distribution integrations covering bookings, availability, rates and hotel content across REST/JSON and SOAP/XML APIs</p></li><li><p>Develop hotel content and mapping pipelines across multiple supplier feeds</p></li><li><p>Build and maintain CI/CD pipelines, containerised deployments and cloud infrastructure</p></li><li><p>Automate manual operational processes across the business</p></li><li><p>Own features and systems end-to-end, from development through to production</p></li><li><p>Work directly with the Chief Technology Officer and help shape the technology department as it grows</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>2+ years’ experience building and shipping production software</p></li><li><p>Strong in Python and TypeScript/JavaScript</p></li><li><p>Practical experience with a Python web framework such as Django or FastAPI, and a Node framework such as NestJS, Express or similar</p></li><li><p>Relational database experience with an ORM such as Prisma, Django ORM, TypeORM or equivalent, including schema design and migrations</p></li><li><p>Hands-on experience with CI/CD, including building and maintaining pipelines</p></li><li><p>Practical experience running applications on Azure or AWS, including deployments, containers, managed databases and monitoring</p></li><li><p>Comfortable owning a feature end-to-end, from schema and API to UI and deployment</p></li><li><p>Good written and spoken English</p></li><li><p>A hands-on, doer and goal-oriented mindset, with a strong sense of ownership and accountability</p><br><p><strong>Preferred Experience:</strong></p></li><li><p>Experience in travel, tourism, hospitality or DMC/OTA systems</p></li><li><p>Azure Container Apps or exposure to both Azure and AWS</p></li><li><p>Prisma and Next.js in a monorepo setup</p></li><li><p>Integration work with legacy SOAP/XML APIs</p></li><li><p>Docker, infrastructure-as-code and PostgreSQL</p></li><li><p>Currently based in the UAE with a valid visa</p></li></ul>

We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions. In this role, you'll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You'll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI<br><br>Key Responsibilities<br><br>Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or Cloud Watch Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI<br><br>Requirements<br><br>Required Skills & Experience<br><br>Strong 10+ hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses Strong 8+ Years of experience with Spark Proficiency in Python or Scala for data engineering and ML workflows Strong understanding of AWS, Azure, or GCP cloud ecosystems Experience with Terraform automation, Dev Ops, and MLOps practices Familiarity with monitoring and governance frameworks for large-scale data platforms