Job Summary: We are seeking an Azure-focused MLOps Engineer to design, deploy, and operate Machine Learning solutions and RAG architectures within the Azure ecosystem, collaborating closely with Data Science and Architecture teams. Key Highlights: 1. Design, deployment, and operation of ML solutions and RAG architectures on Azure. 2. Automation via CI/CD in Azure DevOps. 3. Internal training to reinforce automation skills. At **Derevo**, we **empower businesses and individuals**, unlocking the value of data across organizations. With over 15 years of experience, we design end-to-end data and AI solutions: from integration into modern architectures to implementation of intelligent models in key business processes. **MLOps Engineer** **Your Mission:** We are looking for an **MLOps Engineer** focused on **Azure Services**, particularly **Azure Databricks and Azure Machine Learning**, to participate in the design, deployment, and operation of **Machine Learning and RAG (Retrieval-Augmented Generation) architectures** within the Azure ecosystem. This role focuses on **production-ready data and ML platforms**, working closely with **Data Science and Architecture teams** to scale models into production environments. **Automation via CI/CD in Azure DevOps** is a core component of this role. Candidates who may be **junior in DevOps services**, but possess **clear understanding of automation, pipelines, and best practices**, are highly valued — these competencies will be **reinforced through internal training**. **️ Key Responsibilities Include:** * Designing, implementing, and maintaining MLOps workflows for continuous deployment of machine learning models on Azure. * Automating model training, validation, deployment, and monitoring processes using Azure DevOps. * Collaborating with development teams to integrate machine learning models into existing applications and services. * Implementing CI/CD (Continuous Integration/Continuous Deployment) practices for continuous delivery of machine learning models. * Monitoring and improving model performance in production, proactively identifying and addressing quality and performance issues. **✅ What Benefits Will You Receive?** * WELLNESS: We’ll support your holistic well-being—personal, professional, and financial—through statutory and additional benefits designed to help you achieve balance. * LET’S RELEASE YOUR POWER: You’ll have the opportunity to comprehensively specialize across diverse areas and technologies, enabling interdisciplinary growth. We’ll encourage you to take on new challenges and surpass your own limits. * WE CREATE NEW THINGS: We love thinking outside the box. You’ll have the space, trust, freedom to create—and the required training—to make it happen. * WE GROW TOGETHER: You’ll participate in cutting-edge, multinational technology projects alongside international teams. **Where Will You Work?** We are a large, fully remote team—flexible yet structured—providing all necessary equipment and internal communication tools to support both our operations and those of our clients. ✅**Requirements:** * Proven professional experience performing MLOps activities using: Azure Databricks Azure Machine Learning RAG Architectures MLflow Python (ML/Data) Azure DevOps CI/CD for MLOps Azure Services Git / Version Control If you meet most of these requirements and are interested in this role, don’t hesitate to apply—we’ll contact you soon! Become derevian & develop your superpower!