Machine Learning Pipeline Manager

2 days ago

Bengaluru, Karnataka, India beBeeOperations Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Model Operations Specialist

Overview: We seek an experienced Model Operations Specialist to join our dynamic team. In this role, you will be responsible for designing and implementing scalable machine learning pipelines, with a focus on automation, monitoring, and model governance.

Key Responsibilities:

  • Design, develop, and maintain model operations pipelines for deploying and managing machine learning models in production.
  • Implement core model operations concepts such as model training, feature engineering, model registration, endpoint deployment, batch inference, model monitoring, and data drift detection.
  • Build scalable and secure ML pipelines using AWS services like SageMaker, Lambda, API Gateway, and Docker.
  • Use YAML scripting to containerize and configure ML workflows.
  • Set up and manage CI/CD pipelines using GitLab, incorporating best practices like artifact scanning, vulnerability checks, automated testing, and deployment.
  • Develop infrastructure using AWS CDK (Cloud Development Kit) to provision and manage AWS resources programmatically.
  • Collaborate with data scientists, DevOps, and engineering teams to ensure seamless integration of models into production environments.
  • Contribute to MLOps research and help implement cutting-edge techniques for scalable ML operations.
  • Participate in system monitoring, debugging, incident management, and performance tuning for ML systems.

Requirements:

  • Minimum 5 years of experience in software engineering and MLOps.
  • Hands-on development experience with AWS, especially SageMaker.
  • Practical knowledge of MLflow, GitLab, and AWS CDK.
  • Familiarity with AWS Lambda, Docker, API Gateway, and YAML scripting.
  • Proficiency in one or more programming languages like Python, R, Scala, or Spark.
  • Strong understanding of production-grade ML systems including security, scalability, and monitoring.
  • Good exposure to CI/CD best practices using GitLab CI Pipelines.
  • Understanding of artifact scanning and vulnerability assessment in CI/CD environments.
  • Exposure to AWS DataZone is a plus.
  • Strong analytical mindset and interest in contributing to research and innovation in MLOps.

What We Offer:

As a Model Operations Specialist, you will have the opportunity to work on challenging projects, collaborate with a talented team, and contribute to the growth and development of our organization.

How to Apply:

If you are a motivated and experienced professional looking for a new challenge, please submit your application with your resume and a cover letter outlining your qualifications and experience.

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