Senior ML Ops Dev Ops Engineer, AI Health Cloud
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Job Location:
Louisville, KY - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Our Company
BrightSpring Health Services
Overview
We are seeking a seasoned Senior MLOps / DevOps Engineer to lead the deployment automation and operationalization of AI/ML solutions within our next-generation AI-enabled Health Cloud Platform. This platform powers intelligent clinical and pharmacy applications using Generative AI Agentic AI Robotic Process Automation (RPA) and Retrieval-Augmented Generation (RAG) with domain-specific vector databases.
Youll work closely with AI architects data scientists and product teams to build scalable secure and compliant infrastructure that supports real-world healthcare workflows.
Responsibilities
- Design and implement robust MLOps pipelines for training validation deployment and monitoring of AI/ML models.
- Automate infrastructure provisioning and CI/CD workflows across cloud environments (Azure AWS GCP).
- Manage containerization and orchestration using Docker Kubernetes and Helm.
- Optimize model serving and inference performance using tools like TorchServe Triton or FastAPI.
- Integrate RAG pipelines vector databases (e.g. FAISS Weaviate Pinecone) and agentic frameworks (LangChain AutoGen) into production environments.
- Ensure compliance with healthcare data standards (FHIR HL7) and privacy regulations (HIPAA).
- Monitor system health implement observability tools (Prometheus Grafana) and respond to incidents.
- Collaborate with cross-functional teams to ensure scalability reliability and security of AI services.
- Mentor junior engineers and contribute to DevOps best practices across the organization.
Qualifications
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- 8 years of experience in DevOps MLOps or cloud infrastructure engineering.
- Deep expertise in cloud platforms (Azure AWS GCP) containerization and orchestration.
- Strong proficiency in Python and infrastructure-as-code tools (Terraform Pulumi).
- Experience with ML lifecycle tools (MLflow Kubeflow SageMaker Vertex AI).
- Experience with security monitoring and performance optimization in production environments.
- Familiarity with AI/ML frameworks (PyTorch TensorFlow Hugging Face Transformers).
- Knowledge of healthcare data formats and compliance standards (FHIR HL7 HIPAA).
- Excellent problem-solving collaboration and communication skills.
- Travel up to 25%
About our Line of Business
Required Experience:
Senior IC
Key Skills
- Business
- MAC
- Facilities Management
- Advertising
- CAD CAM
- Application Support
About Company
Welcome to SpringHealth Behavioral Health & Integrated Care where we assist those we serve in reaching their highest level of independence.
