onsite
Mid AI/ML Engineer - Booz Allen Hamilton
ML Engineer
Mid-level AI/ML Engineer designing, building, and deploying scalable machine learning solutions using Python, MLOps practices, and AWS to enhance mission-critical systems and enable faster, data‑driven decision making.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models that support national security mission systems.
- Implement end‑to‑end MLOps pipelines, including data ingestion, feature engineering, model training, and continuous integration/continuous deployment.
- Collaborate with cross‑functional teams to integrate AI/ML solutions into operational environments and ensure scalability on cloud platforms.
- Perform model validation, performance monitoring, and iterative improvement to meet stringent reliability and security requirements.
- Document best practices, model artifacts, and deployment procedures for knowledge sharing and compliance.
Requirements
- 3+ years of experience in AI/ML engineering with a strong foundation in Python and statistical modeling.
- Proficiency in MLOps tools (e.g., MLflow, Kubeflow, or similar) and cloud services such as AWS.
- Hands‑on experience with data processing pipelines, feature engineering, and model deployment at scale.
- Strong problem‑solving skills and ability to work in a fast‑paced, mission‑critical environment.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningmlopsaws