We are looking for a Data Scientist to join our AI team and support clients in building end-to-end Talk-To-Data (TTD) solutions powered by LLMs and GenAI models. The AI team focuses on cutting-edge aspects of Generative AI and LLMs with applications such as RAG, summarization, multi-agent workflows, and model fine-tuning. With deep, PhD-level expertise in GenAI, NLP, and Computer Vision, this is an excellent environment for professionals eager to push their skills to new heights. We are seeking candidates for long-term engagement in GenAI and related domains.

Codzienne zadania

• Develop end-to-end GenAI applications such as chatbots, voicebots, and Talk-to-Data systems, including data ingestion, retrieval layers, orchestration (e.g., LangChain, LlamaIndex, LangGraph), API/backend, and simple UI where needed.
• Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.
• Perform model selection, prompting strategies, and fine-tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including guardrails, output evaluation, and A/B testing.
• Design, integrate, and optimize LLM interactions with external tools, APIs, and data sources using Model Context Protocol (MCP) connectors.
• Understand business requirements and translate them into technical goals, define success metrics, audit data feasibility, and align stakeholder expectations.
• Support project delivery and pre-sales initiatives.

Must have

• GenAI
• NLP
• multimodal models
• Python
• Azure
• GCP
• Deep learning
• NumPy
• PyTorch
• HuggingFace
• LangChain
• LangGraph
• GenAI API
• OpenAI
• Gemini
• MCP Servers