26-6064: AI/ML Engineer - DC Metro - Secret
About The Position
Navitas is seeking an experienced AI/ML Engineer to design, develop, and optimize advanced Artificial Intelligence and Machine Learning solutions that enhance operational, analytical, and decision‑support capabilities across mission‑critical environments. This role blends hands‑on engineering, applied data science, and enterprise integration, ensuring models, pipelines, and tools align with established architecture, performance, and security requirements. The ideal candidate thrives in complex environments, leverages both commercial and government technologies, and delivers scalable, production‑ready AI/ML solutions.
Requirements
- Experience with Python, TensorFlow, PyTorch, Scikit‑learn, or similar ML frameworks.
- Hands‑on experience with cloud‑based AI/ML services (AWS Sagemaker, Azure ML, OCI Data Science).
- Strong understanding of data engineering concepts, including ETL/ELT, feature stores, and distributed processing.
- Familiarity with MLOps practices, CI/CD pipelines, and automated model deployment workflows.
- Knowledge of security and compliance requirements for government or regulated environments.
- Ability to translate complex analytical concepts into clear, actionable insights.
Responsibilities
- Design, develop, and optimize AI/ML models to support predictive analytics, automation, and decision‑support functions.
- Build, maintain, and enhance data pipelines that support model training, tuning, validation, and deployment.
- Train, evaluate, and refine algorithms using modern ML frameworks, ensuring accuracy, reliability, and performance.
- Deploy AI/ML models into production environments, integrating with enterprise systems, APIs, and cloud platforms.
- Identify, evaluate, and integrate appropriate COTS, government, and custom AI/ML tools within established enterprise frameworks.
- Ensure all AI/ML solutions meet security, compliance, and performance requirements, including alignment with enterprise architecture standards.
- Collaborate with data engineers, cloud engineers, DevSecOps teams, and mission stakeholders to deliver scalable, maintainable AI/ML capabilities.
- Support model monitoring, drift detection, retraining workflows, and continuous improvement cycles.
- Document and communicate technical approaches, model behavior, and analytical insights to both technical and non‑technical audiences.
- Contribute to modernization initiatives by recommending new methodologies, tools, and best practices in AI/ML engineering.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
