remote
Machine Learning Engineer - Omni Federal
ML Engineer
Design, develop, and deploy machine‑learning models and pipelines using Python, TensorFlow/PyTorch, and cloud services. Collaborate with cross‑functional teams to deliver scalable AI solutions for mission‑critical and enterprise applications.
About the role
Key Responsibilities
- Develop, train, and optimize machine‑learning models using Python and frameworks such as TensorFlow or PyTorch.
- Build end‑to‑end ML pipelines, including data ingestion, preprocessing, feature engineering, and model serving.
- Deploy models to cloud environments (AWS) using containerization (Docker) and CI/CD practices.
- Collaborate with software engineers, data scientists, and product owners to integrate AI capabilities into existing systems.
- Monitor model performance in production, implement retraining strategies, and ensure compliance with security and reliability standards.
Requirements
- Bachelor's or higher in Computer Science, Electrical Engineering, or a related field.
- 3+ years of hands‑on experience building and deploying ML models in Python.
- Proficiency with deep‑learning frameworks (TensorFlow or PyTorch) and cloud platforms (AWS).
- Experience with containerization (Docker) and automated deployment pipelines.
- Strong problem‑solving skills, ability to work independently, and willingness to obtain a Secret security clearance if required.
Skills
pythontensorflowpytorchawsdocker