GenAI 数据科学家

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