Job 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
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.