Senior MLOps Engineer

Edelman, a trusted leader in communications, is seeking a Senior MLOps Engineer to join their innovative AI team. This role presents an exciting opportunity to work at the forefront of AI technology, specifically focusing on Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) techniques.

The position offers a chance to make a significant impact by developing and optimizing scalable machine learning pipelines in a modern data stack environment. You'll be working with cutting-edge AI frameworks and solving complex challenges in a supportive, forward-thinking atmosphere. The role involves leading the design, deployment, and optimization of AI systems that deliver powerful PR insights.

As a Senior MLOps Engineer, you'll be responsible for developing and maintaining scalable MLOps pipelines, deploying and optimizing GenAI models, and implementing CI/CD pipelines for ML workflows. The role requires expertise in cloud infrastructure optimization, model versioning, and system monitoring. You'll work with tools like Databricks, Docker, Kubernetes, and various MLOps frameworks.

The ideal candidate brings 5+ years of relevant experience, strong technical skills in Python and ML libraries, and expertise in cloud platforms. You should have a proven track record in deploying Generative AI models and managing ML workflows. The position requires both technical excellence and strong communication skills, as you'll be collaborating across teams and mentoring junior members.

Working at Edelman means joining a company that values diversity, equity, inclusion, and belonging. They offer competitive compensation (€60,000 - €75,000 annually) and the flexibility of remote work. This role is perfect for someone passionate about AI technology who wants to contribute to innovative solutions while working with a respected global company.