Senior Ai Engineer

Experteer Overview As Senior AI Engineer within the Cybersecurity team, you will design, build, and scale ML and Generative AI solutions integrated into enterprise platforms and data infrastructures.You’ll lead end-to-end AI lifecycle from experimentation to deployment and monitoring, while mentoring the AI Engineering team.You will collaborate across platform, backend, data, product, and cybersecurity teams to modernize CSOC with AI-driven capabilities, ensuring governance and responsible AI practices.This role offers impact-driven work at scale, shaping secure, data-informed operations.Compensaciones / Beneficios * Design, develop, and deploy ML and Generative AI solutions from experimentation through production * Build production-grade code and ensure integration with existing platforms and services * Define requirements and architecture with cross-functional teams * Develop AI-driven capabilities to modernize the Cyber Security Operations Center * Monitor model performance, reliability, and drift; troubleshoot production issues * Mentor junior engineers and provide technical guidance * Evaluate new tools/frameworks to improve systems * Contribute to AI governance, data privacy, and responsible AI practices * Document architecture decisions, system designs, and model behavior * Stay current with AI/ML technologies and apply relevant innovations Responsabilidades * 5+ years of AI/ML engineering with production-grade ML/Generative AI solutions * Strong Python expertise with PyTorch or TensorFlow * Experience with LLM frameworks and techniques (LangChain, LlamaIndex, RAG, embeddings, agentic workflows) * Design scalable AI architectures; develop API-driven services in AWS/Azure/GCP * Solid MLOps knowledge (CI/CD, containerization, deployment, monitoring, lifecycle) * Familiarity with vector databases, AI infrastructure tooling, and data governance/compliance (GDPR) * Experience mentoring engineers and collaborating with global teams * Experience in cybersecurity, security operations, threat detection, or incident response (highly desirable) * Fluent English Requisitos principales * Flexible working conditions * Life and accident insurance * Health insurance at a competitive price * Investment in your learning and development * Gym membership discounts

Compensaciones / Beneficios * Design, develop, and deploy ML and Generative AI solutions from experimentation through production * Build production-grade code and ensure integration with existing platforms and services * Define requirements and architecture with cross-functional teams * Develop AI-driven capabilities to modernize the Cyber Security Operations Center * Monitor model performance, reliability, and drift; troubleshoot production issues * Mentor junior engineers and provide technical guidance * Evaluate new tools/frameworks to improve systems * Contribute to AI governance, data privacy, and responsible AI practices * Document architecture decisions, system designs, and model behavior * Stay current with AI/ML technologies and apply relevant innovations Responsabilidades * 5+ years of AI/ML engineering with production-grade ML/Generative AI solutions * Strong Python expertise with PyTorch or TensorFlow * Experience with LLM frameworks and techniques (LangChain, LlamaIndex, RAG, embeddings, agentic workflows) * Design scalable AI architectures; develop API-driven services in AWS/Azure/GCP * Solid MLOps knowledge (CI/CD, containerization, deployment, monitoring, lifecycle) * Familiarity with vector databases, AI infrastructure tooling, and data governance/compliance (GDPR) * Experience mentoring engineers and collaborating with global teams * Experience in cybersecurity, security operations, threat detection, or incident response (highly desirable) * Fluent English Requisitos principales * Flexible working conditions * Life and accident insurance * Health insurance at a competitive price * Investment in your learning and development * Gym membership discounts