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 ResponsibilitiesDesign, develop, and deliver data-driven and AI-based solutions for enterprise use casesTranslate business problems into robust data science and machine learning approachesPrepare, clean, and analyse structured and unstructured dataPerform feature engineering and select appropriate modelling techniquesBuild, train, evaluate, and optimise machine learning models using Python or RDevelop proof-of-concepts and evolve them into production-ready solutionsImplement and improve Generative AI solutions, including RAG and LLM-based pipelinesEvaluate model outputs and continuously improve quality, relevance, and reliabilityContribute to technical design discussions and solution architectureCollaborate closely with engineers, product teams, and customer stakeholders RequirementsStrong academic background in Data Science, Mathematics, Statistics, Computer Science, or similarHands-on experience building end-to-end machine learning pipelinesVery good practical knowledge of Python or R and common data science librariesSolid understanding of statistics and core machine learning conceptsPractical experience with Generative AI, LLMs, and RAG approachesAbility to write clean, production-ready, and maintainable codeExperience working in multidisciplinary delivery teamsStrong communication skills in English Nice to haveExperience with distributed data processing or SparkExposure to deep learning frameworks such as TensorFlow or KerasExperience working in cloud-based environmentsExperience in fast-paced or delivery-focused project environments BenefitsSolid, competitive salaryWork in multinational environment on international projectsComprehensive healthcareLong-term B2B contract with stable project pipelineFully remote model Originally posted on Himalayas