Apply
Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.
Join our award-winning Dev Ops practice, recognized as "Best Dev Ops Services" at the 2025 Computing Magazine Dev Ops Excellence Awards. With 100+ engineers and 15 years of expertise, we work across Azure, AWS, and GCP, delivering cloud-native solutions at scale.
What you'll do
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 Argo CD 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 (Ia C) 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
What you bring
Experience in cloud platform engineering, Dev Ops, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (Argo CD, Azure Dev Ops, 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 you'll get
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: Git Hub Copilot, Cursor, and others.
Private medical care with Lux Med.
My Benefit credits for stores, restaurants, and cafés.
Access to a Multisport membership to stay active.
Glasses reimbursement program.
Referral bonuses for bringing in new talent.
Apply for Middle MLOps Engineer
C. V. required. Submit your application through the following channels:
Company Website
Recruiter Outreach (via Linked In, e-mail, etc.)
Linked In
Job Boards
Social Media (Instagram, Facebook, etc.)
Events (Career fairs, meetups etc.)
University/College/IT School, etc.
My Network (Recommendations from friends, colleagues etc.)
Apply
