Data & AI Security Expert / Process Manager

150 - 200 PLN/ godz.B2B (netto)
SeniorFull-time·B2B
#336277·Dodano dziś·1
Źródło: nofluffjobs.com
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Tech Stack / Keywords

AIMLAzureAWSGCPRisk assessmentsThreat modelingSecurity principlesCommunication skillsDatabricksAzure AIFoundryAI-specific riskISONISTGDPRPythonSQL

Wymagania

  • Strong experience in data security, application security, or cloud security roles.
  • Hands-on understanding of AI/ML ecosystems and how models are developed, deployed, and integrated with enterprise systems.
  • Experience in conducting risk assessments and threat modeling for complex systems, including AI-driven solutions.
  • Ability to translate technical risks into practical security controls and recommendations.
  • Experience with cloud environments such as Azure, AWS, or GCP and modern data platforms.
  • Good understanding of security principles such as access control, encryption, and data protection.
  • Experience working with stakeholders across engineering, data, and business teams.
  • Very good English communication skills (C1 level or equivalent).

Nice to have:

  • Experience with platforms such as Databricks or Azure AI / Foundry.
  • Knowledge of AI-specific risks (e.g., model manipulation, data leakage, adversarial scenarios).
  • Familiarity with privacy-enhancing techniques and secure AI design patterns.
  • Background in governance, compliance, or security standards (e.g., ISO, NIST, GDPR).
  • Experience supporting incident response or security investigations in data/AI environments.
  • Programming skills (e.g., Python, SQL).

Obowiązki

  • Manage end-user requests, incident qualification, and regular communication for investment banking platforms.
  • Provide L2 technical support, handle deployments (Staging/Prod), and manage system monitoring and security.
  • Work with infrastructure teams on disaster recovery planning, environment building, and obsolescence management.
  • Implement DevOps practices, automate tasks via scripting, and maintain quality reporting (KPIs).
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