Senior AI Solution Architect for Automotive Analytics

GlobalLogic

Gothenburg (NE)

Hybrid

USD 150,000 - 230,000

Full time

6 days ago
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Benefits offered by this job

Diversity & inclusion
Career development
Flexible relocation options
Learning & development support
Comprehensive benefits

Job summary

GlobalLogic seeks a Senior AI Solution Architect & Data Scientist to lead AI-based measurement analytics tooling. You will design a POC converting vehicle telemetry into actionable software verification insights, bridging engineering data with targeted troubleshooting through modular ML pipelines and intelligent reporting.

You will mentor teams, architect end-to-end ML pipelines, and deliver prototypes and interfaces within the enterprise software ecosystem.

Qualifications

  • 5+ years in data science, ML, or AI systems development.
  • Proficiency in Python and data science ecosystem.
  • Experience deploying production-grade models.
  • Strong time-series, NLP, clustering, and RG generation with LLMs.
  • Experience handling large-scale structured and unstructured data.

Responsibilities

  • Design end-to-end ML architectures and data pipelines for high-volume automotive datasets.
  • Analyze and preprocess massive telemetry streams to extract patterns.
  • Research, build, and train analytical models for diagnostics and scenario reconstruction.
  • Develop modular, well-documented code and APIs for deployment.
  • Mentor team members and align requirements with engineering teams.

Skills

AI & data science
Python
ML & NLP
Time-series analysis
RAG with LLMs
UI prototyping
CAN/LIN knowledge

Education

B.Sc.
M.Sc.
Ph.D.

Tools

CAN
LIN

Job description

GlobalLogic seeks a Senior AI Solution Architect & Data Scientist to lead AI-based measurement analytics tooling. You will design a POC converting vehicle telemetry into actionable software verification insights, bridging engineering data with targeted troubleshooting through modular ML pipelines and intelligent reporting.

You will mentor teams, architect end-to-end ML pipelines, and deliver prototypes and interfaces within the enterprise software ecosystem.

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