Machine Learning Operations (MLOps) Architect - Generative Al Focus

📋 Description

• Design scalable ML/LLM infra on AWS (SageMaker, EKS, S3, IAM)
• Architect end-to-end ML/GenAI lifecycles (data, train, eval, deploy)
• Integrate RAG pipelines and vector databases
• Define CI/CD/CT standards for ML and GenAI workloads
• Deploy LLM-based services (SageMaker endpoints, containerized inference)
• Establish monitoring, retraining, and guardrails for safety and bias

🎯 Requirements

• 6+ years in ML engineering, data engineering, or MLOps
• Proven AWS SageMaker experience (training, pipelines, deployment)
• Operationalize LLM/GenAI in production
• Experience with RAG pipelines and vector databases
• Databricks in production
• Data governance/catalogs (Atlan) and CI/CD for ML/GenAI

🎁 Benefits

• Health Insurance: medical, dental, and vision through UHC
• Flexible Spending Account for pre-tax medical/dental/dep care
• Lifestyle Spending Account for well-being
• 100% Company Paid Insurances: disability and vision
• Paid Time Off and Sick Time
• Retirement Benefits: 401(k) with company match