MLOps Engineer

1 day ago


Gurgaon Gurugram Chennai Bengaluru Bangalore, India beBeeOperations Full time ₹ 5,00,000 - ₹ 8,00,000
Machine Learning Operations Specialist

We are seeking a seasoned Machine Learning Operations Specialist to join our team. As a key member of our engineering organization, you will be responsible for deploying and operating advanced analytics machine learning models. You will work collaboratively with data scientists and data engineers to streamline model development and operations.

  • Enable model tracking, model experimentation, and model automation. Develop scalable ML pipelines that integrate with various data sources and machine learning frameworks.
  • Design and develop MLOps components in the machine learning development lifecycle using model repositories such as MLFlow or Kubeflow Model Registry.
  • Implement machine learning services such as Kubeflow, DataRobot, HopsWorks, or Dataiku to support end-to-end production-ready ML pipelines.
  • Collaborate across all phases of the model development lifecycle to build and maintain tools for deployment, monitoring, and operations.
  • Build a knowledge base required to deliver increasingly complex MLOPs projects on cloud platforms (AWS, Azure, GCP) or on-premises environments.

Requirements:

  • 5-10 years of experience building production-quality software with strong expertise in system integration, application development, or data warehouse projects.
  • Basic knowledge of MLOps, machine learning, and Docker.
  • Proficiency in object-oriented languages such as Python, PySpark, Java, C#, or C++.
  • Experience developing CI/CD components for production-ready ML pipelines.
  • Database programming skills using any flavors of SQL.
  • Knowledge of Git for source code management.
  • Ability to collaborate effectively with highly technical resources in a fast-paced environment.
  • Strong problem-solving skills, creative thinking, and effective communication skills.
  • Foundational knowledge of cloud computing either on AWS, Azure, or GCP.
  • A passion for learning new skills and staying up-to-date with industry trends.


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