Senior MLOps & Generative AI Engineer - Sentara

Key Responsibilities

• Design, develop, and maintain production‑grade MLOps pipelines for generative AI models, ensuring reliability, scalability, and security.
• Implement containerization (Docker) and orchestration (Kubernetes) strategies to deploy models across cloud environments, primarily AWS.
• Collaborate with data scientists and software engineers to integrate model training, evaluation, and monitoring into CI/CD workflows.
• Automate model versioning, rollback, and A/B testing, leveraging tools such as MLflow, Airflow, or similar.
• Optimize model performance and resource utilization, applying best practices for inference latency and cost efficiency.

Requirements

• 5+ years of experience in MLOps, with a strong focus on generative AI or large language models.
• Hands‑on experience with CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD) and model monitoring tools.
• Excellent problem‑solving skills and ability to work independently in a fully remote setting.