Sr. Machine Learning Engineer

Myntra · Bengaluru

  • Experience5–8 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 5+ years of experience.

Skills

  • Natural language processing
  • Recommender systems
  • Machine learning algorithms
  • Deep learning
  • Embeddings
  • Large language models
  • Retrieval-augmented generation
  • Agentic AI
  • Search
  • Personalization
  • Parallel processing
  • Multithreading
  • Multiprocessing
  • Distributed computing
  • Kafka
  • Flink
  • Data governance
  • Fairness
  • Ethical AI

The role

A machine learning engineer at a large fashion ecommerce marketplace builds search and personalization systems using machine learning algorithms and recommender systems, and deploys scalable machine learning pipelines with real-time data streaming. The role also applies natural language processing and generative AI to intelligent product discovery.

Full job description

As a Senior Software Engineer (machine learning: search and personalization), you will play a key role in shaping intelligent systems that power how millions of users discover and interact with products daily. If you are passionate about building scalable ML systems and want to redefine how India shops for groceries, this is the place for you.

Requirements:

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

Strong experience in NLP, recommender systems, and machine learning algorithms (classification, regression, clustering, anomaly detection, pattern recognition techniques, deep learning, embeddings, and LLMs/RAG/agentic AI).

Hands-on experience in building ML systems for search and personalization use cases.

Experience designing and deploying ML solutions at large scale (billions of records).

Experience leveraging parallel processing techniques (multithreading, multiprocessing, distributed computing) to build high-performance, scalable machine learning pipelines and optimize large-scale data processing workloads.

Familiarity with real-time data streaming technologies such as Kafka, Flink, etc.

Understanding of data governance, fairness, and ethical AI principles.

Preferred Skills: Bachelor's degree in computer science or Master's in Statistics/Mathematics/Econometrics, or equivalent practical experience.

Relevant Experience of a minimum of 3-6 years in building large-scale ML systems.

Ability to work independently in a fast-paced, high-impact environment.

Passion for experimenting with new technologies and building solutions at scale.

Strong communication (verbal and written), interpersonal, leadership, and problem-solving skills.

A mindset focused on delivering customer-centric solutions through innovation and engineering excellence.