This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Join our award-winning DevOps practice, recognized as "Best DevOps Services" at the 2025 Computing Magazine DevOps Excellence Awards. With 100+ engineers and 15 years of expertise, we work across Azure, AWS, and GCP, delivering cloud-native solutions at scale.
Job Responsibility:
Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies
Requirements:
Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement
What we offer:
EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés