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AI/ML Engineer

GTT

Reston, VA

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JOB DETAILS
SKILLS
Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Banking Services, Big Data, Biology, Biotech and Pharmaceutical, Cloud Computing, Communication Skills, Computer Skills, Computer Vision, Continuous Deployment/Delivery, Continuous Integration, Data Processing, Data Quality, Data Sets, Database Extract Transform and Load (ETL), Deep Learning, Dental Insurance, Docker, Enterprise Protection, Financial Services, Fortune 500 Customers, Information Retrieval, Knowledge Base, Machine Learning, Machine Tool, Microservices, Microsoft Windows Azure, Model Validation, Natural Language Processing (NLP), NoSQL, Performance Tuning/Optimization, Problem Solving Skills, REST (Representational State Transfer), Regulatory Compliance, Relational Databases (RDBMS), Retail, Retirement Funds, SQL (Structured Query Language), SQL Databases, Safety/Work Safety, Software Engineering, Vision Plan
LOCATION
Reston, VA
POSTED
30+ days ago
Primary Job Title:
AI/ML Engineer
Alternate/Related Job Titles:
  • Machine Learning Engineer
  • AI Engineer
  • Generative AI Engineer
  • MLOps Engineer
Location:
Reston, VA
Onsite Flexibility:
Hybrid
Contract Details (Contract roles only):
  • Position Type: Contract
  • Contract Duration: 12 months
  • Start: As Soon As Possible
Job Summary:
The AI/ML Engineer will design, develop, and deploy enterprise-scale AI solutions, combining Generative AI, machine learning, and cloud engineering. This role focuses on building production-grade AI systems using Microsoft Azure, including LLM applications, RAG pipelines, and scalable ML models.

Key Responsibilities:
  • 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 skills
Nice-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 integrations
Required Skills:
  • Python & Software Engineering
  • Machine Learning & Generative AI
  • Azure AI/ML & Cloud Platforms
Preferred Skills:
  • RAG & Vector Databases
  • MLOps & CI/CD
  • Multi-Agent Systems
  • Big Data Technologies
Additional Skills:
  • Prompt engineering and optimization
  • Feature engineering and model tuning
  • Data processing and validation
  • API integration and microservices architecture
  • Enterprise security and compliance alignment
Benefits:
  • Medical, Vision, and Dental Insurance Plans
  • 401k Retirement Fund
About the Client:
Infrastructure Engineering Firm
We design and build essential infrastructure for cities. Our commitment to safety and quality has driven our success since 1898. Join our team and contribute to building a thriving society.

About GTT:
GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.
Job Number:
26-02687
Hashtags:
#LI-GTT  #LI-Hybrid  #gttjobs

About the Company

G

GTT

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