Capgemini

Senior AI Governance Engineer

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SeniorHybryda·WrocławFull-time

#469186·Dodano 7 dni temu·0

Źródło: Capgemini

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Tech Stack / Keywords

Python MLflow DatabricksAzure MLSageMakerVertex AIFairlearnAIF360LangSmithEU AI Act

Podsumowanie oferty

As an AI Governance Engineer, you will help organizations build trusted, scalable and compliant AI ecosystems. You will embed Responsible AI principles and regulatory requirements into AI and machine learning operating models, implementing governance controls, testing and production monitoring.

Wymagania

5+ years as a machine learning engineer, MLOps engineer or data scientist, with production experience and strong Python skills.
Hands-on experience with MLflow or a comparable model lifecycle tool, and at least one cloud ML platform: Databricks, Azure ML, SageMaker or Vertex AI.
Experience testing and evaluating models and LLM applications, using fairness and bias libraries such as Fairlearn or AIF360, and evaluation and monitoring tools such as Evidently, Giskard, LangSmith or Azure AI Content Safety.
Ability to explain a test result to a non-technical risk owner; fluent English.

Nice to have:

Understanding of the technical requirements of the EU AI Act and ISO/IEC 42001.
Experience in financial services, energy, pharma or the public sector.

Obowiązki

Implement governance controls in the ML lifecycle, including model registries, approval workflows, versioning, lineage, access, logging and traceability of model decisions.
Build and run evaluations and tests, including bias and fairness tests, performance and robustness evaluations, and adversarial and red-team testing of LLM and agentic applications, guardrails and content safety.
Automate the generation of model cards, evaluation reports, data sheets and technical documentation from pipelines.
Set up production monitoring for drift, performance, incident detection and alerting, aligned with post-market monitoring obligations.
Map technical controls to the EU AI Act (Articles 9 to 15), ISO/IEC 42001 and NIST AI RMF with AI governance consultants.
Implement AI inventory and governance tooling and integrate it with the client’s data catalog and platform.
Work with data engineers and the Databricks team so AI governance runs on the same platform as the data.
Build reusable assets, including test suites, evaluation templates and control-as-code patterns.

Benefity

Yearly financial bonus.
Private medical care with Medicover, with additional packages such as dental, senior care and oncology available on preferential terms.
Life insurance.
Access to the NAIS benefit platform.
Access to over 70 training tracks with certification opportunities on the NEXT platform.
Free access to the Education First languages platform, TED Talks and Udemy Business materials and trainings.
Home office package including a laptop, monitor and chair.

Premie

Opieka zdrowotna

Ubezpieczenie

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Kursy językowe

Capgemini

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