MLOps Engineer

Required Skills

MLOps
AWS
Machine Learning
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

Job Title: MLOps Engineer


Job Type: Full-time


Location: On-site Gurugram | Pune | Bengaluru


Job Summary

Join our customer's team as a hands-on MLOps Engineer, where you'll play a pivotal role in shaping, deploying, and automating end-to-end machine learning pipelines. Leveraging your expertise in AWS services and MLOps best practices, you will help operationalize cutting-edge ML solutions in a fast-paced, collaborative environment. This opportunity is ideal for passionate professionals who care deeply about 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 specific to 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.

This job is currently closed and not accepting applications. Thank you for your interest!

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