Senior Data Scientist, AI Engineer

• Design, build, train, evaluate, and deploy machine learning and generative AI solutions.
• Develop and maintain predictive analytics, NLP, computer vision, and LLM-based applications.
• Implement Retrieval-Augmented Generation (RAG), agentic workflows, and knowledge management solutions.
• Deploy and operate local/open-source models in secure environments.
• Design and deploy AI solutions within Azure Government.
• Develop data pipelines supporting AI and analytics workloads.
• Implement CI/CD pipelines for machine learning and AI workloads.
• Collaborate with mission owners, analysts, engineers, cybersecurity personnel, and leadership.

Requirements

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field.
• Master's degree preferred.
• 5+ years of experience in data science, machine learning, AI engineering, or related fields.
• 2+ years of experience deploying and operating production AI/ML systems.
• Experience supporting secure government, defense, or regulated environments preferred.
• Strong knowledge of supervised and unsupervised learning techniques.
• Experience with model development, evaluation, and optimization.
• Statistical analysis and experimental design experience.
• Proficiency in Python and common ML frameworks.
• Experience deploying and operating open-source LLMs.
• Experience with Llama family models, Mistral models, Hugging Face models.
• Knowledge of RAG architectures, Agent frameworks, and Prompt engineering.
• Experience with Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure Kubernetes Service (AKS).
• Experience with Docker, Kubernetes, GPU-based inference systems.
• SQL and relational databases, ETL/ELT pipeline development.
• Git-based development workflows, REST APIs and microservices.

ATS Optimization Keywords

Hard Skills

• machine learning
• generative AI
• predictive analytics
• natural language processing
• computer vision
• Retrieval-Augmented Generation
• data pipelines
• CI/CD pipelines
• statistical analysis
• experimental design

Soft Skills

• collaboration
• communication
• leadership

Industry Keywords

• data science
• AI engineering
• secure government environments
• defense environments
• supervised learning
• unsupervised learning
• model development
• open-source LLMs
• Llama models
• Hugging Face models

Tools & Technologies

• Python
• Azure Government
• Azure AI Foundry
• Azure Machine Learning
• Azure OpenAI
• Azure Kubernetes Service
• Docker
• Kubernetes
• GPU-based inference systems
• Git