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Senior MLOps & Generative AI Engineer - Remote

Sentara Health

Virginia Beach, VA 23464

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5+ years of experience building and deploying production software, ML systems, or AI platforms.
1+ years of hands-on experience building production Generative AI or LLM-based applications.
Strong programming skills in Python and experience with software engineering best practices.
Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent.
Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks.
Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies.
Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP.
Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures.
Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure.
Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices.
Experience building monitoring, observability, and alerting solutions for ML and AI systems.
Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations.
Experience designing secure, scalable, production-ready AI platforms and services.
Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming.
5+ years of relevant experience with a degree (Required)
Or 7+ years of relevant experience without a degree (Required)
Experience in lieu of Bachelor's Degree.
5 to 7 years of relevant experience