AI Automation Systems Engineer

TSMG Holding

Kraków

On-site

PLN 120,000 - 180,000

Full time

14 days+

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Job summary

TSMG Holding is seeking an embedded technical partner to bridge Map Operations and Google Engineering. You will design and deploy end-to-end automation and AI tools, focusing on AI model experimentation, generation, and maintenance for efficient operations and data workflows.

As part of a small, cross-functional unit, you will build pipelines, work with geospatial data, and craft dashboards to monitor performance, SLAs, and root cause analyses.

Qualifications

  • 3-5 years in technical operations, software development, data analysis, or developer support.
  • Ability to autonomously design and productionize AI tools from prototype to production.
  • Strong English communication and ability to translate tech concepts for non-technical stakeholders.

Responsibilities

  • Collaborate with Locality Experts to map operational pain points and engineer Python/AI tools and automated pipelines.
  • Support Geo Mapping Data Technicians with configurations to improve daily workflows
  • Triage and debug complex churn and policy bugs, coordinating with third-party and Engineering teams
  • Create Tools Requirements Documents (ORDs) and document impact of changes
  • Design, deploy and maintain dashboards (e.g., PLX) to monitor SLA and RCA reports
  • Act as a cross-trained backup to Locality Experts for policy verification and data auditing

Skills

Python
JavaScript
Appscript
NumPy
Pandas
PySpark
TensorFlow
Linux
SQL
PLX dashboards
LLMs
Prompt engineering
RAG pipelines
GIS
QGIS

Tools

APIs
Web scraping
Geo data processing

Job description

TSMG Holding is seeking an embedded technical partner to bridge Map Operations and Google Engineering. You will design and deploy end-to-end automation and AI tools, focusing on AI model experimentation, generation, and maintenance for efficient operations and data workflows.

As part of a small, cross-functional unit, you will build pipelines, work with geospatial data, and craft dashboards to monitor performance, SLAs, and root cause analyses.

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