Posted:1 month ago|
Platform:
Hybrid
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)
Deqode
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