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Madiff Himalayas · Posted yesterday

Data Scientist GenAI

Full time Remote

Data Science Machine Learning Engineering Generative AI AI Engineering
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Indexed description

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

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