SSE - ML

Myntra · Bengaluru

  • Experience5–8 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted3 Sept 2026
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About Myntra

Myntra is hiring in Bengaluru in ecommerce retail. This role looks for around 5+ years of experience.

Skills

  • Machine learning algorithms
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • Model monitoring
  • Alerting systems
  • Model interpretability
  • Fairness
  • Bias mitigation
  • Time series forecasting
  • Statistical models
  • Probabilistic models
  • Deep learning
  • Transformers
  • PyTorch
  • scikit-learn
  • Python
  • Exploratory data analysis
  • Data structures
  • Algorithms
  • System design
  • Natural Language Processing
  • Computer Vision
  • Data governance
  • Ethical AI

The role

An AI and machine learning engineer at an e-commerce marketplace develops time series forecasting and predictive modeling systems using PyTorch and scikit-learn, and applies ethical AI practices and model monitoring to production systems. The role also involves Python and deep learning for scalable experimentation and reliable deployment.

Full job description

Responsibilities:

Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to deliver AI-driven solutions.

Implement scalable machine learning solutions using cloud infrastructure (AWS, GCP, Azure).

Develop and maintain model monitoring, alerting systems, and frameworks to ensure optimal performance in production.

Work on improving model interpretability, fairness, and bias mitigation in alignment with ethical AI practices.

Conduct code reviews, optimize algorithms, and ensure the scalability and reliability of machine learning systems.

Requirements:

Experience working with machine learning algorithms and technologies.

Experience working on time series problems, implementing existing methods in general, and the ability to develop new solutions (statistical and probabilistic models, deep learning, and transformers).

Experience working with PyTorch, scikit-learn, and time series Python libraries for model training and evaluation experiments.

Ability to do exploratory data analysis, read research papers and state-of-the-art models in literature, and implement them.

Design, develop, and maintain scalable machine learning systems for time series forecasting and general predictive modeling (in both CPU and GPU machines).

Experience in Python and the ability to write production-level code.

Critical thinking and strong technical knowledge in data structures, algorithms, and system design.

Potential to innovate novel machine learning methods at industry standards and publish at international conferences.

Exposure to Natural Language Processing and Computer Vision Algorithms.

Knowledge of data governance and ethical AI principles.

Bachelor's degree in computer science or equivalent practical experience.

Must be able to work independently, enjoy working in a fast-paced start-up environment, and be adept at experimenting with new technologies.

Must have excellent communication (verbal and written), interpersonal, leadership, and problem-solving skills.