Automotive AI Developer & Data Scientist — POC Pipelines

GlobalLogic

Kraków

On-site

PLN 140,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Relocation options
Career development
Diversity & inclusion
Comprehensive benefits
Learning & development programs

Job summary

GlobalLogic seeks a mid-level AI Developer & Data Scientist to drive an AI-based Measurement Analytics Tool. You will own implementing, scaling, and deploying a PoC that converts vehicle telemetry and diagnostic logs into actionable software verification insights.

You will work as an autonomous contributor, bridging engineering data to troubleshooting with ML pipelines, feature extraction, and automated reporting, under senior guidance while collaborating with junior developers.

Qualifications

  • 2–4 years in data science, ML, or software engineering with ML model development.
  • Proficient in Python and data science ecosystem; able to build rapid UI prototypes.
  • Experience applying time-series analysis, clustering, and NLP/RAG with LLMs.

Responsibilities

  • Develop, maintain, and optimize ML/data pipelines for automotive data.
  • Clean and structure heterogeneous telemetry and log data.
  • Train, evaluate, and fine-tune analytics models including time-series and NLP.
  • Write production-grade Python code and expose APIs/UI.
  • Collaborate with architects and automotive domain experts; support integration into Volvo repositories.

Skills

Python
Data Science
ML pipelines
NLP
Time-series analysis
CAN/LIN knowledge

Education

B.Sc. or M.Sc. in Computer Science/Data Science/Engineering

Tools

UI prototyping
LLMs

Job description

GlobalLogic seeks a mid-level AI Developer & Data Scientist to drive an AI-based Measurement Analytics Tool. You will own implementing, scaling, and deploying a PoC that converts vehicle telemetry and diagnostic logs into actionable software verification insights.

You will work as an autonomous contributor, bridging engineering data to troubleshooting with ML pipelines, feature extraction, and automated reporting, under senior guidance while collaborating with junior developers.

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