ML Engineer / AI Operations

Morristown, New Jersey 07960 Posted April 2nd, 2026

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Job Type: Full Time

Job Category: IT

Job Description

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