Machine Learning Ops Engineer

About this role

Responsibilities

• Design, build, and maintain end-to-end MLOps and LLMOps pipelines
• Implement CI/CD workflows using tools such as Bitbucket, Jenkins for automated testing, containerization, and release of AI models
• Containerize ML workloads with Docker and orchestrate them on Kubernetes (EKS) or other container platforms
• Leverage AWS services to host, scale, and manage model training and inference pipelines
• Develop monitoring and alerting solutions for model latency, accuracy, data drift, and infrastructure health