AI/ML Engineer
14 days ago
Reston
Job DescriptionPrimary Job Title: AI/ML EngineerAlternate/Related Job Titles: • Machine Learning Engineer, • AI Engineer, • Generative AI Engineer, • Position Type: Contract, • Contract Duration: 12 months, • Build LLM powered applications for text generation, summarization, Q&A, conversational AI, and enterprise knowledge search., • Develop RAG pipelines using embeddings, vector databases, knowledge bases, and grounding techniques with enterprise data., • Implement Azure OpenAI, Cognitive Search, and related services to build secure, compliant GenAI solutions., • Integrate LLMs into backend applications, microservices, and enterprise platforms., • Optimize prompts, system instructions, and orchestration patterns to ensure quality, reliability, and cost efficiency., • Design and implement single agent and multi agent systems for intelligent automation and decisioning., • Build autonomous and semi-autonomous agents that perceive, plan, act, and interact with tools, APIs, and event-driven systems., • Develop agentic workflows for complex enterprise processes using Azure and modern orchestration frameworks., • Design, develop, and deploy classical ML and deep learning models using platforms such as Azure Machine Learning, PyTorch, and Scikit Learn., • Perform data preprocessing, feature engineering, model training, hyperparameter tuning, validation, and performance optimization., • Ensure resilience, scalability, and lifecycle management for all production models., • Work with large-scale datasets, performing data preprocessing, feature engineering, and model validation., • Deploy AI models using cloud-based platforms such as Azure AI/ML., • Ensure AI/ML solutions align with enterprise security, compliance, and governance standards.Required Experience:, • Requires bachelor's degree (or international equivalent) and 7+ years of relevant experience or 11+ years of relevant work experience without degree, • 3-5 years of experience in AI/ML development, including designing and deploying ML models, • Strong software engineering background (Python, REST APIs, microservices, event-driven systems), • Good knowledge and understanding of RESTful API principles, • Good understanding of relational databases and querying using SQL, • Hands-on experience with Azure Machine Learning, Azure OpenAI, Cognitive Services, and Azure Data Lake, • Experience building RAG systems, vector embeddings, and knowledge retrieval pipelines, • Proficiency in big data processing technologies such as Databricks, Azure Data Factory, or Kafka, • Experience with multi-agent systems or agentic AI orchestration frameworks, • Background in NLP, computer vision, or advanced deep learning architectures, • Experience with vector databases (Azure AI Search vector store), • Expertise in AI/ML frameworks like PyTorch, Keras, or Scikit-learn, • Experience with NLP, Computer Vision, Deep Learning, and Generative AI models, • Strong knowledge of MLOps, CI/CD for AI model deployment, and containerization (Docker, Kubernetes), • Familiarity with data engineering, ETL pipelines, and SQL/NoSQL databases, • Experience working in an enterprise environment with large-scale AI deployments, • Strong analytical, problem-solving, and communication skillsNice-to-Have Experience:, • Experience with the Microsoft Agent Framework, Azure AI Foundry and Agent Service, • Experience with Microsoft 365 Agents SDK/Toolkit and Semantic Kernel, • Experience with multi-agent orchestration patterns, • Experience with advanced retrieval techniques such as GraphRAG and NL2SQL, • Experience with enterprise-grade agent tooling and integrationsRequired Skills:, • Python & Software Engineering, • Machine Learning & Generative AI, • Azure AI/ML & Cloud PlatformsPreferred Skills:, • RAG & Vector Databases, • MLOps & CI/CD, • Multi-Agent Systems, • Big Data TechnologiesAdditional Skills:, • Prompt engineering and optimization, • Feature engineering and model tuning, • Data processing and validation, • API integration and microservices architecture, • Enterprise security and compliance alignmentBenefits:, • Medical, Vision, and Dental Insurance Plans #LI-GTT #LI-Hybrid #gttjobsCompany DescriptionGlobal Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure. We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier. There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: Awards SIA’s Fastest Growing Staffing Firm: 2023 and 2015 SIA’s Best Staffing Firm to Work for: 2019 -2023 Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015 Randstad Preferred Supplier: 2020 - 2023 TechServe Alliance Excellence Award. 2019 NH Business Magazines Fast 5 fastest growing companies Ernst & Young Entrepreneur of the Year Finalist: 2015Global Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\r\n\r\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\r\n \r\nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: \r\n \r\nAwards\r\n\r\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\r\nSIA’s Best Staffing Firm to Work for: 2019 -2023\r\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\r\nRandstad Preferred Supplier: 2020 - 2023\r\nTechServe Alliance Excellence Award. 2019\r\nNH Business Magazines Fast 5 fastest growing companies\r\nErnst & Young Entrepreneur of the Year Finalist: 2015