Our Client is a dynamic organization developing scalable and secure Machine Learning solutions in cloud environments. The team designs and implements end-to-end MLOps pipelines, containerizes workloads, and automates CI/CD processes using Microsoft Azure services. They work with technologies such as Azure ML, Kubernetes, Docker, MLflow, and Terraform, delivering production-ready, resilient, and modern AI solutions.
🛠️ Technology Stack
Azure ML • AKS • Azure DevOps • Docker • Kubernetes • Python • MLflow • Terraform • CI/CD • IaC
🎯 Who Are We Looking For?
Must-have
Strong proficiency in Python
Minimum 3 years of experience building ML pipelines and working with ML frameworks (PyTorch, TensorFlow, scikit-learn)
Hands-on experience with Azure services: Azure ML, AKS, Azure DevOps, across full MLOps workflows
Proficiency in containerization and orchestration: Docker, Kubernetes
Knowledge of MLOps practices, including MLflow (experiment tracking, model registry, artifact management)
Experience with Infrastructure as Code: Terraform / Bicep / ARM
Nice-to-have
Experience with Kubeflow or Vertex AI
Knowledge of Responsible AI, data security, and compliance principles
🧠 Soft Skills
Analytical thinking and the ability to draw insights from data
Strong problem-solving skills in complex ML environments
Clear technical communication with non-technical stakeholders
Attention to detail and quality of delivered solutions
Ability to collaborate in cross-functional teams
Openness to growth, new tools, and the rapidly evolving AI market
🧩 Responsibilities
Design and implement complete MLOps pipelines on Azure (Azure ML, AKS, ACR, ADLS)
Containerize and orchestrate ML workloads using Docker and Kubernetes
Automate model training, validation, and deployment (CI/CD, Git, Airflow / MLflow / Kubeflow)
Manage model versioning, registries, and lifecycle
Monitor model drift, data quality, and inference performance
Build Infrastructure as Code (Terraform / Bicep / ARM)
Ensure compliance with security policies and DevSecOps best practices
TQLO Sp. z o.o. – Employment Agency (KRAZ No. 33580)
Thank you for all applications. We will contact selected candidates.