Automotive AI Engineer & Data Scientist (Kraków)

Hitachi, Ltd.; Kraków; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Relocation options

Rotation opportunities

Diversity & inclusion

Job summary

GlobalLogic in Kraków is seeking a mid-level AI Developer & Data Scientist to drive the development and deployment of an AI-based Measurement Analytics Tool. You will implement ML pipelines, feature extraction workflows, and reporting interfaces to turn multi-modal vehicle telemetry into actionable insights.

You will work as an autonomous contributor under senior architects, collaborating with entry-level developers to scale PoC efforts for automotive data processing and verification tasks.

Qualifications

• 2–4 years in data science, ML, or software engineering with ML models.
• Proficient in Python and data science ecosystem; experience building rapid UI prototypes.
• Experience applying time-series analysis, clustering, or RAG with LLMs to real-world data.
• Handling large-scale structured and unstructured datasets; ingest, parse, and correlate logs & measurements.
• Familiarity with vehicle software verification, CAN/LIN, or diagnostic log structures.
• B.Sc. or M.Sc. in Computer Science, Data Science, or related field.

Responsibilities

• Build, maintain, and optimize AI/ML data-processing pipelines for automotive data.
• Clean, preprocess, and structure heterogeneous telemetry streams to extract patterns.
• Train, evaluate, and fine-tune models using time-series, clustering, and NLP techniques.
• Write clean, modular Python code and create intuitive UI interfaces and APIs.
• Collaborate with senior architects and automotive experts to implement solutions and integrate code into Volvo repositories.

Skills

Python

Data Science

ML

NLP

UI Prototyping

LLMs

RAG

Time-series

Data integration

Automotive domain

Education

B.Sc.

M.Sc.

Tools

CAN

LIN

Job description

GlobalLogic in Kraków is seeking a mid-level AI Developer & Data Scientist to drive the development and deployment of an AI-based Measurement Analytics Tool. You will implement ML pipelines, feature extraction workflows, and reporting interfaces to turn multi-modal vehicle telemetry into actionable insights.

You will work as an autonomous contributor under senior architects, collaborating with entry-level developers to scale PoC efforts for automotive data processing and verification tasks.