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