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