Sr. ML Ops Engineer, Forward-Deployed

Description: Hands-on MLOps engineering role focusing on model training, workflows, APIs, orchestration, and production monitoring. Collaborate with the MLOps team in India to ensure rapid deployment of customer solutions. Requirements: 6+ years of experience in MLOps, ML platform engineering, or related roles. Strong skills in Python, SQL, APIs, backend services, and CI/CD. Experience with Kubernetes, cloud infrastructure, and debugging across the stack. Familiarity with tools like Airflow, Spark, and AWS is a plus. Benefits: Competitive salary range of $191,475.00 - $260,830.00 plus bonuses and stock options. Comprehensive health insurance, paid parental leave, generous PTO, and self-care days.