AI DevOps (Lead, Senior)

Responsibilities: • Leading architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale) • Driving automation of infrastructure, model lifecycle and inference pipelines • Overseeing CI/CD processes for AI/ML/GenAI workloads • Designing secure, scalable cloud infrastructures (Azure-focused) • Acting as technical advisor for stakeholders and client-facing solution design • Mentoring engineers, promoting best practices, and fostering innovation in GenAI adoption • Coordinating cross-functional teams to align AI engineering with business outcomes • Ensuring cost optimization, monitoring and compliance across environments   Requirements: • 5+ years in DevOps/Cloud Engineering with AI/ML/GenAI project experience • Proven experience deploying LLMs/SLMs (model serving, inference optimization, RAG, GenAI apps) • Expert proficiency in Linux and macOS administration • Advanced Python and scripting (Bash/PowerShell) for automation and integration • Deep knowledge of IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins) • Strong expertise in Azure cloud, Kubernetes, and enterprise AI/ML platforms • Track record in delivering secure, production-ready solutions for AI/ML/GenAI • Familiarity with monitoring, observability and FinOps practices • Excellent leadership, communication and mentoring skills • Fluency in written and spoken English Nice to have: • Knowledge of Windows    Offer: • Private medical care • Co-financing for the sports card • Training & learning opportunities • Constant support of dedicated consultant • Employee referral program