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Staff Machine Learning Engineer - Retail GCC - Chennai

Michael Page
Chennai, India
8-10 Years
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  • Posted 13 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

  • To be a part of one of the largest retail GCCs based in Chennai
  • Get to work on exciting use cases in Computer Vision and Agentic AI.

Job Description

  • Define and drive the architecture roadmap for scalable, production-grade ML platforms.
  • Design and code highly scalable, machine learning applications processing large volumes of data.
  • Design end-to-end ML systems covering Data ingestion, Feature engineering pipelines, Model training & validation, Deployment & serving and Monitoring & retraining
  • Design and productionize deep learning models including Computer Vision, NLP / LLM-based systems, and Recommender systems
  • Design and maintain centralized feature stores where you implement feature versioning, feature lineage & metadata tracking, and data quality validation

The Successful Applicant

A successful Staff Machine Learning Engineer should have:

  • Strong background in Machine Learning with deep understanding of algorithms and modeling techniques
  • 8+ years of overall software development experience with at least 5+ years of industry experience applying Machine Learning to concrete problems
  • Great coding skills and strong software development experience with Big Data technologies & Machine Learning frameworks like SparkML, TensorFlow, PyTorch, Keras
  • Understanding of distributed systems, and large scale engineering challenges is plus.

What's on Offer

  • A highly competitive salary with attractive ESOPs
  • An opportunity to work with a large organization in the retail industry
  • Access to ongoing professional development and training.



If you are passionate about analytics and have the expertise to excel as a Staff Machine Learning Engineer, we encourage you to apply.

More Info

Job Type:
Permanent Job
Function:
Retail
Employment Type:
Full time

About Company

Michael Page

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds&#x3B; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Job ID: 143897797

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Last Updated: 05-03-2026 05:44:16 AM
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