Data Scientist (GenAI)

TL;DR

Data Scientist (GenAI): Building end-to-end Talk-To-Data (TTD) solutions powered by LLMs and GenAI models with an accent on RAG pipelines, multi-agent workflows, and model fine-tuning. Focus on designing scalable LLM interactions, optimizing retrieval layers, and translating complex business requirements into robust technical implementations.

Company

A global technology services company with over 1,500 experts, focused on fostering an inclusive, values-driven environment and continuous professional growth.

What you will do

• Build end-to-end GenAI applications including chatbots, voicebots, and Talk-to-Data systems.
• Design and implement RAG pipelines using vector databases, hybrid search, and rerankers.
• Perform model selection, prompting strategies, and fine-tuning (LoRA/QLoRA/SFT) for text and multimodal models.
• Integrate and optimize LLM interactions with external tools using Model Context Protocol (MCP) connectors.
• Translate business problems into technical goals, defining success metrics and auditing data feasibility.
• Support project delivery and pre-sales initiatives.

Requirements

• Strong theoretical background in deep learning concepts.
• Experience with Machine Learning and Generative AI (LLM/LMM) with a focus on NLP.
• Fluency in Python and object-oriented programming.
• Working knowledge of SQL and vector databases.
• Strong technical proficiency in Azure or GCP cloud environments.
• Hands-on experience with PyTorch, HuggingFace, LangChain, and LangGraph.

Nice to have

• Experience working with Databricks.
• Proven commercial experience in multiple successful GenAI, NLP, or Computer Vision projects.
• Experience with microservice architectures.

Culture & Benefits

• Flexible work model with the option to work remotely or from the office.
• Workation policy allowing work from inspiring locations.
• Unlimited access to the Udemy learning platform and certificate training programs.
• Strong focus on upskilling through internal Competency Centers and knowledge sharing.
• Inclusive, values-driven community with a focus on well-being and health.
• Stable employment with a company established in 2008.