Micro1•2h ago
Naukri
MLOps Engineer
Bengaluru
Full Time
Mid Level
N/A
N/A
N/A
Full Job Description
MLOps Engineer in Bengaluru with Micro1
Join our dynamic team as a hands-on MLOps Engineer and take the lead in architecting, deploying, and automating comprehensive machine learning pipelines. You will leverage your deep expertise in AWS services and MLOps best practices to operationalize cutting-edge ML solutions in a fast-paced, collaborative environment. This is an exceptional opportunity for passionate professionals committed to clear communication and delivering impactful ML systems.
Key Responsibilities
- Design, develop, and maintain robust ML pipelines for scalable deployment in production environments.
- Implement and manage CI/CD workflows tailored for machine learning code and artifacts.
- Utilize core AWS services, with a strong emphasis 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 effectively 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, particularly EKS, ECS, ECR, SageMaker, Step Functions, EventBridge, SNS/SQS, and Model Registry.
- Deep understanding of core ML concepts and the complexities of deploying ML code in production-grade systems.
- Strong experience with MLFlow for experiment tracking and model management.
- Solid grasp of CI/CD concepts specifically for 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
Bengaluru
Posted on Naukri