Data & AI Security Engineer @ Devire

1 week ago

Remote Warszawa, Czech Republic Devire Full time

Strong understanding of data security principles, cryptography, and privacy-enhancing technologies. Experience with securing AI/ML environments, including MLOps platforms and model registries. Familiarity with cloud security (Azure, AWS, GCP) and data protection tools (e.g., DLP, CASB). Knowledge of AI-specific threats and mitigation techniques (e.g., differential privacy, secure federated learning). Proficiency in Python, SQL, and security automation tools. Bachelor’s or Master’s degree in Cybersecurity, Data Science, Computer Science, or related field. Relevant certifications (e.g., CISSP, CISM, CDPSE, Azure Security Engineer, Google Professional ML Engineer) are a plus. Devire Outsourcing IT is a form of partnership dedicated to self-employed IT specialists, executing projects for our Clients - leading IT Companies bringing innovations and the newest resolutions to market. Our client is a multinational nutrition leader with global brands and >100k employees, headquartered in Europe, with EMEA tech hubs and end-to-end manufacturing and supply operations. We are looking for a Data & AI Security Engineer Salary: 170-200 PLN/h netto + VAT  Location: 100% zdalnie Language: communication in English on daily basis Salary up to 200 PLN/h netto + VAT on B2B contract Remote position in a multilingual environment Additional benefit package (medical healthcare, sport membership, etc.) Possibility to cooperate with an international company with a stable market position Long-term cooperation Flexible business work hours ,[Develop and implement security strategies for data platforms, AI models, and machine learning pipelines., Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and industry standards., Conduct risk assessments and threat modeling for AI systems, including adversarial attacks and model poisoning., Secure data ingestion, storage, processing, and sharing mechanisms across cloud and on-prem environments., Define and enforce access controls, encryption standards, and data governance policies., Collaborate with AI/ML teams to integrate security into model development, deployment, and monitoring., Evaluate and mitigate risks related to data bias, model explainability, and ethical AI use., Lead incident response and forensic investigations involving data breaches or AI misuse.] Requirements: Security, Cryptography, AI, MLOps, Cloud security, AWS, GCP, DLP, Python, SQL, Degree, Cybersecurity, Data science, CISSP, CISM, Azure Security

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