ML Engineer - AI Operations

Job Type

Full Time

Job Category

IT

Job Title

ML Engineer - AI Operations

Location

Morristown, NJ (Onsite)

Skill

ML Engineer - AI Operations

Key responsibilities

• Own and operate CI/CD for existing ML services across dev/test/prod; standardize blue/green and canary releases with automated rollbacks.
• Run model/data drift and performance monitoring with SLAs; define alerts, thresholds, and retraining triggers.
• Build and maintain production dashboards, alerts, and incident workflows; codify on-call runbooks and escalation paths.
• Partner with onshore model owners to diagnose metric degradation and land mitigations aligned to governance and controls.
• Provide day-to-day L2/L3 support for production ML: triage, root-cause analysis, permanent fixes, and post-incident reviews.
• Own operational documentation: runbooks, standard operating procedures, and recurring health checks.
• Coordinate hotfixes and safe rollbacks with onshore teams; verify recovery via automated smoke tests.
• Harden and productionize research notebooks into maintainable, testable services with CI, unit/integration tests, and linting.
• Operate and evolve model-serving APIs and batch scoring jobs; integrate with enterprise schedulers and data platforms.
• Ensure models are fully integrated into CI/CD, observability, and monitoring stacks; enforce traceability with experiment and model registries.
• Validate successful delivery of model outputs to apps, chatbots, reports, and downstream systems with contract tests and data quality checks.

Required Skills

• Git/GitLab, Python, SQL, MLflow, Power BI, Snowflake.
• OLAP/OLTP data modeling and architecture.
• API frameworks (FastAPI/Flask), and

Nice to have

• Modern ELT tools (Fivetran/Airbyte).
• Streaming/real-time data pipelines (e.g., Kafka, Kinesis, Redpanda).
• Production ML service operations experience (experience in broader full-stack environments is a plus.

Required Skills

DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER