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Senior Data Scientist, AI Engineer

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Navarro Research and Engineering

201 - 500 employees

⚡ Energy

🏛️ Government

Energy • Government • Environmental

Navarro Research and Engineering is a leading small business contractor specializing in providing client-focused solutions to complex challenges in the nuclear, environmental, and clean energy fields. Since 1993, Navarro has supported federal agencies in effectively executing their missions through high-quality services in environmental management, nuclear services, health and industrial hygiene, and technical services. Known for its safety leadership and reliable project completion, Navarro boasts a highly skilled workforce. The company also engages in community commitment and educational support initiatives.

📋 Description

• 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.

🏖️ Benefits

• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k,) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation & Public Holidays) • Short Term & Long Term Disability

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