ML Engineer

Job Title: ML Engineer - AI Operations Location: Morristown, NJ (100% Onsite from Day 1) Duration: 6 Months Primary Skills: Artificial Intelligence (AI), Google Data Engineering Role Overview We are seeking an experienced ML Engineer with a strong focus on AI Operations (MLOps) to manage, optimize, and scale production-grade machine learning systems. The ideal candidate will have deep expertise in CI/CD for ML, model monitoring, and production support, ensuring reliability, performance, and governance of deployed models. Key Responsibilities Own and manage end-to-end CI/CD pipelines for ML services across development, testing, and production environments Implement and standardize deployment strategies such as blue/green and canary releases with automated rollback mechanisms Monitor model performance, data drift, and system health with defined SLAs, alerts, and retraining triggers Build and maintain production dashboards, alerting systems, and incident response workflows Collaborate with onshore stakeholders to diagnose model degradation and implement corrective actions aligned with governance standards Provide L2/L3 production support including triaging issues, root cause analysis, and implementing long-term fixes Conduct post-incident reviews and ensure continuous improvement of operational processes Develop and maintain operational documentation including runbooks, SOPs, and system health check procedures Coordinate hotfix deployments and rollback strategies, ensuring system stability through automated validation tests Convert research notebooks into scalable, production-ready services with proper testing, CI integration, and code quality standards Manage and enhance model-serving APIs and batch processing pipelines integrated with enterprise data platforms Ensure full integration of ML models with CI/CD pipelines, monitoring systems, and experiment tracking tools Validate downstream data delivery to applications, chatbots, and reporting systems through contract testing and data quality checks Required Skills Strong experience with Python, SQL, Git/GitLab Hands-on expertise with MLflow, Snowflake, Power BI Experience in API development (FastAPI / Flask) Solid understanding of OLAP/OLTP data modeling and architecture Proven experience in production ML systems and MLOps practices Equiliem