Data Scientist GenAI

This is a remote position.

We are looking for Data Scientists to join a long-term delivery programme focused on building production-grade AI and Generative AI solutions for enterprise customers. This is a hands-on role centred on real delivery and customer-facing systems, covering classical machine learning, advanced analytics, and LLM-based workflows including RAG. The environment is execution-driven, engineering-focused, and oriented towards measurable business impact

Responsibilities

- Design, develop, and deliver data-driven and AI-based solutions for enterprise use cases

- Translate business problems into robust data science and machine learning approaches

- Prepare, clean, and analyse structured and unstructured data

- Perform feature engineering and select appropriate modelling techniques

- Build, train, evaluate, and optimise machine learning models using Python or R

- Develop proof-of-concepts and evolve them into production-ready solutions

- Implement and improve Generative AI solutions, including RAG and LLM-based pipelines

- Evaluate model outputs and continuously improve quality, relevance, and reliability

- Contribute to technical design discussions and solution architecture

- Collaborate closely with engineers, product teams, and customer stakeholders

Requirements

- Strong academic background in Data Science, Mathematics, Statistics, Computer Science, or similar

- Hands-on experience building end-to-end machine learning pipelines

- Very good practical knowledge of Python or R and common data science libraries

- Solid understanding of statistics and core machine learning concepts

- Practical experience with Generative AI, LLMs, and RAG approaches

- Ability to write clean, production-ready, and maintainable code

- Experience working in multidisciplinary delivery teams

- Strong communication skills in English

Nice to have

- Experience with distributed data processing or Spark

- Exposure to deep learning frameworks such as TensorFlow or Keras

- Experience working in cloud-based environments

- Experience in fast-paced or delivery-focused project environments

Benefits

- Solid, competitive salary

- Work in multinational environment on international projects

- Comprehensive healthcare

- Long-term B2B contract with stable project pipeline

- Fully remote model

Originally posted on Himalayas