Machine Learning Engineer

Myntra · Bengaluru

  • Experience6–10 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted2 Sept 2026
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About Myntra

Myntra is hiring in Bengaluru in ecommerce retail. This role looks for around 6+ years of experience.

Skills

  • Machine Learning
  • Python
  • Natural Language Processing
  • Computer Vision
  • Recommender Systems
  • Statistical Modeling
  • TensorFlow
  • PyTorch
  • scikit-learn
  • SQL

The role

A machine learning engineer at an e-commerce marketplace develops machine learning models for recommender systems, computer vision, and natural language processing, and deploys production models with Python and TensorFlow. Statistical modeling and SQL support reliable model evaluation and data-driven product systems.

Full job description

Responsibilities:

Design, develop, and deploy machine learning models, algorithms, and systems to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend, and Virality prediction, Gen AI, and other areas.

Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as NLP, Computer Vision, recommender systems, and optimization.

Implement robust and reliable software solutions for model deployment.

Support the team in maintaining machine learning pipelines, contributing to tasks like data cleaning, feature extraction, and basic model training.

Participate in monitoring the performance of machine learning models, gaining experience in using statistical methods for evaluation.

Working with the Data Platforms teams for understanding and collecting the data.

Conduct performance testing, troubleshooting, and tuning as required.

Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.

Requirements:

Master's/PhD in Computer Science, Mathematics, Statistics/related fields, or 3+ years of relevant industry experience with a Bachelor's degree.

Proficiency in Python or one other high-level programming language.

Theoretical understanding of statistical models such as regression, clustering, and ML algorithms such as decision trees, neural networks, etc.

Strong written and verbal communication skills.

Intellectual curiosity and enthusiasm for continuous learning.

Experience developing machine learning models in Python, or equivalent programming language.

Basic familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.

Introductory understanding of statistics as it applies to machine learning.

Ability to manage and prioritize your workload and support his/her manager.

Experience with SQL and/or NoSQL databases.

Nice to Have:

Publications or presentations in recognized Machine Learning and Data Science journals/conferences.

Experience with ML orchestration tools (Airflow, Kubeflow, or MLFlow).

Exposure to GenAI models.