Machine Learning Engineer

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.