Senior ML Data Scientist & GenAI Platform Architect (Azure)

GlobalLogic; Kraków; On-site; PLN 250,000 - 400,000; Full time

Job summary

GlobalLogic, a Hitachi Group Company, is seeking a Senior ML Data Scientist to help build a GenAI platform that accesses complex product knowledge for medical and industrial equipment.

You will lead data ingestion from manuals, transcripts, and IoT streams, design advanced data models, and deploy GenAI agents on Azure, shaping the architecture and patterns for scalable intelligent support across global operations.

Qualifications

• Extensive experience in Data Science and Machine Learning with a strong focus on NLP and Data Engineering.
• Proven track record of designing and implementing complex data models for large-scale information retrieval systems.
• Expertise in cleaning and structuring highly unstructured data (e.g., audio transcripts, PDFs, manual reports, and sensor data).
• Good experience with the Azure cloud ecosystem and its data services.
• Hands-on experience implementing Large Language Models (LLMs) and OpenAI capabilities within production environments.
• Strong communication skills to work with cross-functional teams and understand the nuances of highly technical documentation.

Responsibilities

• Transform vast, unstructured “tribal knowledge” into a high-fidelity digital brain.
• Orchestrate the entire data lifecycle from ingestion to deployment of GenAI agents.
• Design complex data models to represent intricate relationships between technical components.
• Clean and structure noisy data and build pipelines for OpenAI-driven consumption.
• Define the architecture of the end solution on Azure for context-aware technician support.

Skills

NLP

Data Engineering

Data Modeling

Large Language Models

OpenAI integration

Azure Cloud

Unstructured Data

Communication

Job description

GlobalLogic, a Hitachi Group Company, is seeking a Senior ML Data Scientist to help build a GenAI platform that accesses complex product knowledge for medical and industrial equipment.

You will lead data ingestion from manuals, transcripts, and IoT streams, design advanced data models, and deploy GenAI agents on Azure, shaping the architecture and patterns for scalable intelligent support across global operations.