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

DCG
DCG to przestrzeń, w której spotykają się potrzeby biznesu i ambicje ludzi. Znamy wartość dobrze dopasowanej współpracy, dlatego pomagamy kandydatom znaleźć środowisko, w którym będą mogli rozwinąć skrzydła, a firmom - z...
AI DevOps (Lead, Senior)
AI DevOps (Lead, Senior)