Job Title: MLOps Engineer Experience: 3–5 Years Location: Remote, USA Employment Type: W2 / Contract Visa: USC / GC / EAD / H1B (as per client requirements) Job Summary We are looking for an experienced MLOps Engineer to design, build, deploy, and maintain scalable machine learning infrastructure and production-grade ML pipelines. The ideal candidate will have hands-on experience with cloud platforms, machine learning deployment, CI/CD automation, containerization, and model monitoring. Required Qualifications 3–5 years of experience in DevOps, ML Engineering, or MLOps. Strong Python programming and scripting skills. Hands-on experience deploying ML models into production. Experience with cloud infrastructure and Kubernetes. Understanding of machine learning lifecycle management. Experience building automated CI/CD and ML pipelines. Strong troubleshooting and problem-solving abilities.

Preferred Qualifications

AWS SageMaker, Azure ML, or Google Vertex AI experience. Experience with LLM deployment and Generative AI infrastructure. Knowledge of model optimization and distributed training. Experience with feature stores and vector databases. Understanding of ML security and governance.