TEKsystems Global Services (TGS) is seeking a Senior AI/ML Engineer to design, develop, and deploy secure, scalable, and high-performance AI/ML pipelines that meet DoD mission requirements, ensuring full compliance with RMF, NIST, and CMMC frameworks.
Requirements
- 5 or more years of hands-on experience in data engineering (preferably in cloud environment) with 3 or more years of experience in Machine Learning engineering roles, preferably in secure or classified environments
- Strong programming skills in Python, SQL, PySpark, Jupyter notebooks, and distributed computing
- Experienced in applying or fine-tuning foundational models or large language models (LLM) in mission critical settings.
- Demonstrated experience in designing and integrating diverse data sources to support Agentic AI systems, including structured, unstructured, and real-time data pipelines in production environments
- Proficiency with Retrieval-Augmented Generation (RAG) frameworks, including implementation of vector databases, embedding models, and retrieval mechanisms to enhance contextual relevance and model performance
- Expert level proficiency in – Azure Databricks, PySpark, scikit-learn
- MLflow for model tracking and deployment
Responsibilities
- Actively participate in whole AI/ML pipeline design, development, and implementation lifecycle.
- Conduct exploratory data analysis (EDA), data cleaning, and statistical validation aligned with DoD data assurance principles.
- Engineer feature pipelines and automate feature stores in Azure Feature Store or within Databricks.
- Build end-to-end ML pipelines with MLflow, Delta Lake, and Azure Machine Learning (AML) for training, evaluation, and model lifecycle management.
- Provide guidance on implementing AI agent frameworks such as LlamaIndex, crewAI, LangGraph, and Azure AI Foundry.
- Design, implement, and optimize AI solutions leveraging both Large Language Models (LLMs) and Small Language Models (SLMs), ensuring scalability, efficiency, and alignment with business objectives.
- Develop and deploy scalable Machine Learning models using Azure Databricks and Lakehouse architecture.
Other
- Must be legally eligible for employment in the U.S.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
- Ability to integrate structured, semi-structured, and unstructured data from APIs, RDBMS, and/or streaming sources into Snowflake or Azure SQL DW.
- Familiarity with DoD data strategy, RMF, NIST 800-53, CMMC, and/or FedRAMP
- Experience in handling classified data, synthetic data generation, or mission-critical AI/ML systems
