Senior AI Governance Engineer

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SeniorHybryda·WarszawaFull-time

#470183·Dodano 6 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Machine LearningMLOpsPython MLflowCloudDatabricksAzure MLAITestingLLM AzureISOIEC

Podsumowanie oferty

As an AI Governance Engineer, you will help organizations build trusted, scalable and compliant AI ecosystems by embedding Responsible AI principles and regulatory requirements into AI and machine learning operating models. You will implement governance controls and evaluation and testing across the ML lifecycle, including on Databricks.

Wymagania

5+ years as a machine learning engineer, MLOps engineer or data scientist with production experience.
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, including 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 AI governance controls in the ML lifecycle, including model registry and approval workflows, versioning, lineage, access, logging and traceability of model decisions.
Build and run evaluation and testing, including bias and fairness tests, performance and robustness evaluation, 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 that 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; additional packages, such as dental, senior care and oncology, are 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.

Premie

Opieka zdrowotna

Ubezpieczenie

Dofinansowanie szkoleń

Szkolenia wewnętrzne

Karta sportowa

Kursy językowe

Napoje w biurze

Parking dla rowerów

Parking dla aut

Telefon

Capgemini

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