Micro1•2h ago
Naukri
MLOps Engineer
Pune
Full Time
Mid Level
N/A
N/A
N/A
Full Job Description
Join a dynamic customer team as a hands-on MLOps Engineer. You will be instrumental in shaping, deploying, and automating end-to-end machine learning pipelines. Leverage your expertise in AWS services and MLOps best practices to operationalize cutting-edge ML solutions in a fast-paced, collaborative environment. This role is perfect for passionate professionals dedicated to clear communication and impactful ML systems.
Key Responsibilities
- Design, develop, and maintain robust ML pipelines for scalable deployment in production environments.
- Implement and manage CI/CD workflows for machine learning code and artifacts.
- Utilize AWS core services, with a strong focus on EKS, ECS, ECR, SageMaker (including processing, training, batch transform, hyperparameter tuning), Step Functions, EventBridge, SNS/SQS, and SageMaker Model Registry.
- Automate and orchestrate machine learning workflows, ensuring reliability and reproducibility.
- Collaborate with data scientists, engineers, and stakeholders to optimize ML models and deployment strategies.
- Monitor, troubleshoot, and enhance ML systems for optimal performance, availability, and scalability.
- Maintain clear, concise, and comprehensive documentation for pipelines, deployments, and operational processes.
Required Skills and Qualifications
- Proven hands-on experience as an MLOps Engineer or in a similar role supporting live ML applications.
- Expertise in AWS cloud services, especially EKS, ECS, ECR, SageMaker, Step Functions, EventBridge, SNS/SQS, and Model Registry.
- Deep understanding of core ML concepts and the nuances of deploying ML code in production-grade systems.
- Strong experience with MLFlow for experiment tracking and model management.
- Solid grasp of CI/CD concepts tailored to machine learning workflows.
- Exceptional written and verbal communication skills, with a strong emphasis on collaboration and documentation.
- Demonstrated ability to work on-site in Gurugram, Pune, or Bengaluru.
Preferred Qualifications
- Exposure to advanced ML workflow automation and monitoring tools.
- Previous experience in high-performance, large-scale ML environments.
- Relevant certifications in AWS or MLOps.
Company
Micro1
Pune
Posted on Naukri