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.