Senior/Lead AI DevOps

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