onsite
AI/ML Engineer - Parsons
ML Engineer
Design, develop, and deploy AI/ML solutions using Python, deep‑learning frameworks, and cloud services to drive business insights and operational efficiency.
About the role
Key Responsibilities
- Design and implement end‑to‑end machine‑learning pipelines, from data ingestion to model serving.
- Develop, train, and fine‑tune models using TensorFlow or PyTorch for predictive analytics and computer‑vision tasks.
- Containerize applications with Docker and orchestrate deployments on Kubernetes or AWS services (SageMaker, ECS).
- Collaborate with data engineers and product owners to translate business requirements into scalable AI solutions.
- Monitor model performance in production, perform root‑cause analysis, and iterate improvements.
Requirements
- Bachelor’s or higher in Computer Science, Electrical Engineering, or related field with 2+ years of hands‑on AI/ML experience.
- Proficiency in Python and deep‑learning libraries (TensorFlow, PyTorch).
- Experience deploying models on cloud platforms (AWS) and using container technologies (Docker, Kubernetes).
- Strong SQL skills for data extraction and preprocessing.
- Familiarity with version control (Git) and CI/CD workflows for model lifecycle management.
Skills
pythontensorflowpytorchawsdockerkubernetessql