Empowering data-driven healthcare for payers, providers, pharmacies, and life sciences organizations.
MLOps Engineer
Location
United States
Posted
1 day ago
Salary
$151.8K - $202K / year
Seniority
Lead
Job Description
Job Requirements
- 8+ years of experience in software engineering, data engineering, or ML engineering with at least 4+ years focused on MLOps or ML platform work.
- Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit-learn, TensorFlow, PyTorch) into production workflows.
- Hands-on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue.
- Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake.
- Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure-as-code (e.g., Terraform, CloudFormation, CDK).
- Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus.
- Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability.
- Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7).
Benefits
- Health insurance
- Life insurance
- Company-paid disability
- 401k
- 18+ days of paid time off
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