ML Engineer - AI Operations

Role: ML Engineer - AI Operations
Location: Morristown, New Jersey- 100% onsite from Day 1
Duration: 12 Month Contract

Experience Required: 8- 10 Years.
Skills: Digital : Artificial Intelligence(AI), Digital : Google Data Engineering~

"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"

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.