MLE/MLOps, OOPs Python, Data Bricks,Azure

5 - 10 years

5 - 9 Lacs

Posted:4 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

We are looking for smart, self-driven, high energy people with top notch communication skills, intellectual curiosity and passion for technology in Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (in Retail and CPG Domain), strong business acumen and excellent soft skills & Exposure to Technology.

Technical Skills:

Must Have Skills:

  • MLOps Implementation and Support Experience
  • Python Programming - Expert and Experienced - 4 -5 years
  • DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum
  • Hands-On MS Azure Cloud knowledge
  • Operations Experience if any
  • List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup
  • Well verse in coding standards (flake8 etc)
  • Automation, Technology and Process Improvement for the deployed projects
  • Agile trained to manage team effort and track through JIRA

Nice to have Skills:

  • Understanding of any one of domain (Eg: Retail, Supply chain, Logistics, Manufacturing).

Soft Skills:

  • Strong verbal and written communication skills with the ability to work well in a team.
  • Strong customer focus, ownership, urgency, and drive.
  • Ability to handle multiple, competing priorities in a fast-paced environment.
  • Work well with the team members to maintain high credibility.

Work Experience:

  • 3-5 years of experience in Machine Learning, Azure and MLOps.
  • Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record.
  • Bachelor's degree in a quantitative discipline (e.g., Operation Research, Statistics, Mathematics) or significant relevant coursework with consistent academic track record.
  • Additional Academic Qualification (good to have):
  • Masters in any area related to Science, Operation Research, Mathematics and Statistics with consistent academic track record.
  • PhD in any stream.

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