onsite
Staff MLOps Learning Engineer - ELLKAY, LLC
Software Engineer
Lead the design and deployment of scalable machine learning pipelines using Python, Docker, Kubernetes, and AWS, driving continuous integration and delivery for healthcare data solutions.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end MLOps pipelines that support model training, validation, and production deployment at scale.
- Implement CI/CD workflows with Git, Jenkins, or GitHub Actions to automate model versioning, testing, and rollout.
- Leverage containerization (Docker) and orchestration (Kubernetes) to ensure high availability and efficient resource utilization.
- Integrate monitoring, logging, and alerting for model performance and drift using Prometheus, Grafana, or similar tools.
- Collaborate with data scientists, software engineers, and product teams to translate business requirements into robust ML solutions.
Requirements
- 5+ years of experience in MLOps or related roles within a data‑centric environment.
- Proficiency in Python, Docker, Kubernetes, and AWS services (EKS, S3, SageMaker).
- Hands‑on experience with CI/CD pipelines, Git, and automated testing frameworks.
- Strong understanding of ML lifecycle, model governance, and compliance in regulated industries.
- Excellent communication skills and a collaborative mindset.
Skills
mlopspythondockerkubernetesawscicdmlflow