S&P Global | Hiring | MLOps Data Engineer | BigDataKB.com | 44812

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Job Location: Bangalore

Cyient is a global engineering and technology solutions company. As a Design, Build, and Maintain partner for leading organizations worldwide, we take solution ownership across the value chain to help clients focus on their core, innovate, and stay ahead of the curve. We leverage digital technologies, advanced analytics capabilities, and our domain knowledge and technical expertise, to solve complex business problems.
With over 15,000 employees globally, we partner with clients to operate as part of their extended team in ways that best suit their organization’s culture and requirements. Our industry focus includes aerospace and defence, healthcare, telecommunications, rail transportation, semiconductor, geospatial, industrial, and energy.
Job Description
  • 4 – 6 years of experience in Data engineering and MLOps
  • Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, Automated pipelines)
  • Strong experience with python programming with multiple projects
  • Experience in using Kubeflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers, KFServing.
  • Experience in using Kubeflow with AWS components
  • Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.
  • Recommendation & Dialogue Engines, Real-Time
  • German Language
  • Certification on AWS /Python
  • Excellent communication skills (English)
Skills & Experience

Communication, Lifelong Learning, Python (Programming Language), Researching

Cyient is an Equal Opportunity Employer.
Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.

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