Inovalon · 15 hours ago
MLOps Engineer
Nashville, TN
Full-time
Onsite
Senior Level, Lead/Staff
$152K/yr - $202K/yr
8+ years expInovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. As an MLOps Engineer, you will design, build, and operate the infrastructure and tooling that power end-to-end ML workflows on AWS, collaborating with data scientists and ML engineers to ensure models are reliable and scalable in production.
AnalyticsHealth CareInformation Technology
No H1B
Responsibilities
Design, implement, and maintain CI/CD pipelines for ML models and data workflows using AWS-native services and infrastructure-as-code
Operationalize models built on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and monitoring
Build and manage data pipelines and feature stores using services such as AWS Glue, Lambda, Step Functions, and Snowflake
Implement observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and establish SLOs/SLAs for production ML services
Automate environment provisioning, configuration, and dependency management across dev, test, and production
Partner with security and compliance teams to ensure ML workloads meet healthcare, privacy, and regulatory standards (e.g., HIPAA)
Collaborate with ML engineers and data scientists to productionize notebooks and prototypes into robust, maintainable services
Contribute to best practices, standards, and documentation for ML platform and operations across the organization
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
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)
Excellent problem-solving and analytical skills with a focus on reliability and automation
Strong communication and collaboration abilities, including working cross-functionally with engineering, data science, and product teams
Ability to work independently in a fast-paced environment
Preferred
Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus
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
Company
Inovalon
A technology company combining data analytics and targeted interventions to achieve meaningful impact across the healthcare landscape.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2021-08-19Acquired
2015-02-12IPO
Leadership Team
Geoff Charron
Chief Technology Officer
Recent News
Business Wire
2025-12-04
Company data provided by crunchbase