Machine Learning Pipeline Specialist

2 days ago

Bhopal, Madhya Pradesh, India beBeeMloper Full time US$ 1,80,000 - US$ 2,40,000
Machine Learning Deployment Expert

The role involves designing, developing, and maintaining scalable machine learning pipelines for deploying and managing models in production. Key responsibilities include model training, feature engineering, model registration, endpoint deployment, batch inference, model monitoring, data drift detection.

  • Design and implement MLOps pipelines using AWS services.
  • Build scalable and secure ML workflows using AWS SageMaker, Lambda, API Gateway, and Docker.
  • Containerize and configure ML workflows using YAML.
  • Set up and manage CI/CD pipelines using GitLab.
  • Develop infrastructure using AWS CDK to provision and manage AWS resources programmatically.

Required skills and qualifications include:

  • 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: Python, R, Scala, or Spark.

This is a key role in our organization's mission to leverage machine learning for business growth.

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