
201 - 500 employees
⥠Energy
đď¸ 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.
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201 - 500 employees
⥠Energy
đď¸ 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.
⢠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.
⢠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.
⢠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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