Experience:

• 5 - 7 Years
• Python 5+ years
• MLOps/MLflow 3+ years
• 3-5 years MLOps with AWS + Databricks + Snowflake

Responsibilities:

• Build MCP Servers for CIE exposing scoring, rules, explainability as MCP tools
• Integrate MCP servers with AgentCore Gateway including JWT/mTLS authentication and entitlement checks
• Deploy BHI custom models to Databricks Model Serving and Snowflake using UDFs and external functions
• Integrate AWS Bedrock for LLM explainability via AI Marketplace subscription
• Implement PHI guardrails including pre-request scanning and post-response masking for healthcare data
• Manage MLflow model registry for versioning, A/B testing, and rollback
• Build CI/CD pipelines for model deployment
• Integrate Feature store with Databricks Feature Store MCP tools
• Implement OpenTelemetry instrumentation for usage event emission to AI Marketplace metering
• Register MCP tool manifests including score_claim, explain_detection, provider_profile tools

Additional responsibilities:

• Ensure PHI/HIPAA compliance in data handling
• Monitor systems using Databricks and CloudWatch
• Develop REST API endpoints for MCP tools
• Handle Docker/containerization for deployments

Nice to have:

• AWS/Databricks certification
• Familiarity with MCP Protocol or willingness to learn
• Experience with OAuth2-secured APIs

More skills:

AWS, HIPAA compliance, AWS Databricks, JSON Web Token, REST API development, CI/CD, Docker containerization, mTLS certificate handling, Snowflake UDF, Git, GitHub, AgentCore Gateway integration

Other:

• UST is a global digital transformation solutions provider with over 30,000 employees in 30 countries
• UST has over 20 years of experience partnering with leading companies for digital transformation
• UST focuses on embedding innovation and agility into client organizations