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Middle MLOps Engineer

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Vention

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Location:
Poland , Wroclaw

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

8000.00 PLN / Month
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Job Description:

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
  • Access to a Multisport membership to stay active
  • Glasses reimbursement program
  • Referral bonuses for bringing in new talent

Additional Information:

Job Posted:
April 02, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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