MLOps Engineer

Profile : MLOps Engineer Multiple locations : Pune | Gurgaon | Noida | Bhopal | Bangalore | Jaipur Mode : Hybrid work model Experience : 4 years Key Requirements : - 4 years of experience in Software Engineering with MLOps focus. - Strong expertise in AWS, particularly AWS SageMaker (required). - AWS Data Zone experience (preferred). - Proficiency in Python, R, Scala, or Spark. - Experience developing scalable, reliable, and secure applications. - Track record of production-grade development, integration and support. Roles and Responsibilities : - Design and implement ML pipelines that seamlessly take models from development to production. - Build and maintain cloud infrastructure on AWS for scaling ML workloads. - Develop monitoring and observability solutions for ML systems. - Optimize model deployment strategies for performance and reliability. - Collaborate with data scientists to ensure smooth model integration. - Implement CI/CD practices specific to machine learning workflows. - Establish MLOps best practices and documentation. - Troubleshoot and resolve production issues related to ML systems. (ref:hirist.tech)

Location: in, IN

Posted Date: 5/12/2025