Machine Learning Operations Manager

2 days ago

Gurgaon, Haryana, India beBeeOperations Full time ₹ 1,04,000 - ₹ 1,30,878
Job Title

We are seeking an experienced Machine Learning Operations Manager to join our team. The ideal candidate will have a strong background in machine learning and operations, with excellent communication and leadership skills.

Key Responsibilities
  • Partner with data scientists and engineers to ensure the stability and trustworthiness of machine learning models across the entire ML ops cycle.
  • Apply expertise to drive the ML ops discipline of the team to the next level.
  • Empower the business to use data science models with confidence through relevant upskilling, documentation, and self-service capabilities.
  • Create and maintain stable data and model pipelines using Databricks MLflow.
  • Automate the data science workflow.
  • Optimize data science models with engineering techniques such as data storage and OOP improvements.
  • Determine how often data science models would need to be trained, tested, and deployed.
  • Work on versioning and monitoring of training/predictions.
  • Create and maintain code repositories.
  • Produce data visualization to communicate model findings, accuracy, and error rates to internal stakeholders clearly and effectively.
Required Skills and Qualifications
  • Experience communicating and collaborating with cross-functional business stakeholders and cross-functional data colleagues.
  • Able to explain ML ops principles in simplistic words to less knowledgeable stakeholders.
  • Clear written and oral communication skills.
  • Time management and prioritization skills.
  • Proficiency in Python or R, with extensive knowledge of packages such as NumPy, Pandas, scikit-learn, etc.
  • Proficiency in SQL.
  • Good data visualization skills and tool knowledge.
  • Familiarity with code version control and repository tools such as Git or Bitbucket.
  • Comfortable working with enterprise-level platforms and technologies.
  • Familiarity with agile way of working.
Benefits

This role offers a competitive salary and benefits package, including opportunities for career growth and professional development.

Others

The successful candidate will be based in [Location] and will be required to travel occasionally.

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