Tech Lead ML Ops Platform

8 - 12 years

35 - 45 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role purpose

  • The Technical Lead is an experienced senior level developer with a background in systems management, agile methodology and operational ready products (DevOps).
  • The role will be responsible for the development of our Data Science and ML Ops Platform and providing knowledge on efficient development practices, with proficiency in Full-Stack development.
  • Managing and developing teams is a key success factor for the role, as well as effective stakeholder management and interacting with agronomists and product owners.

Knowledge, experience & capabilities

  • Very strong understanding of Full-Stack development using ReactJS and either Python, Java, or Node.js
  • Very strong understanding SQL and NoSQL databases
  • Very strong understanding of automation and CI/CD (test and build automation)
  • Good understanding of designing RESTful APIs
  • Good understanding of Micro-service architectures and Containerization
  • Good understanding of cloud architectures, including AWS
  • Experience working with Agile methodology
  • Prior experience managing or leading a team
  • Experience working with ML Ops frameworks

Critical success factors & key challenges

  • Strong algorithm design, logical and reasoning skills
  • Ability to deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices
  • Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas
  • Excellent communication and stakeholder management skills to explain technical information to individuals who don't have the same technical background
  • Problem solving and decision making skills
  • Teamwork, team management and leadership skills

Innovations

Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or a related field.

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