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AI/ML Engineer with Security Clearance - Parsons
ML Engineer
AI/ML Engineer responsible for designing, developing, and deploying machine learning models in a secure, cloud‑native environment. Leverages Python, deep learning frameworks, and AWS services to deliver high‑impact solutions while maintaining strict security standards.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning models using Python and deep learning frameworks (TensorFlow, PyTorch).
- Develop end‑to‑end data pipelines and feature engineering workflows on AWS (S3, SageMaker, Lambda).
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Ensure compliance with security policies and maintain required security clearance throughout project lifecycle.
- Deploy models to production, monitor performance, and iterate for continuous improvement.
Requirements
- Strong programming skills in Python and experience with ML libraries.
- Hands‑on experience with AWS services for ML deployment.
- Solid understanding of data science concepts and statistical analysis.
- Experience with deep learning architectures and model optimization.
- Valid security clearance or ability to obtain one.
Skills
pythonmachine learningdeep learningaws