ML Engineer

This email is to inform you that Request ID 66753-1 has been released to you for see the details below for more information:

Request ID: 66753-1

Start/End Dates: 6/7/2026 - 12/7/2026

Tax Work Location: US Default

Job Title: Information TechnologyUSA - USAEngineer

Job Description: Please strictly adhere to the following resume naming convention:

ALL CAPS NO SPACES B/T UNDERSCORES

PTNUSGBAMSREQIDCandidateBeelineID

i.e. PTNUS9999999SKIPJOHNSON0413

Bill Rate: MAX CONFIRMED-$85/hr

MSP Owner: Shilpa Bajpai

Location: Morristown New Jersey- 100% onsite from Day 1.

Duration: 6 months

GBaMS ReqID:

Role: ML Engineer - AI Operations

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