ML Engineer
Company: AgileGrid Solutions
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-03
About this role
About The Company
adesso SE stands for digital excellence and offers a wide range of development opportunities for all its employees. As a company, we believe in growing together and learning from each other through challenging projects, interdisciplinary teams, and targeted training programs. Our core focus is on IT and delivering success for our clients. We are at the forefront of the AI transformation, combining the courage to innovate with technological expertise and future-proof strategies. Our strength lies in our employees, the adessi, who are motivated to make a difference and turn ideas into action. Our corporate culture is rooted in openness, responsibility, and shared success, fostering an environment where innovation and collaboration thrive.
About The Role
We are seeking an experienced Machine Learning Architect to join our team and lead the design and implementation of scalable ML architectures for high-availability enterprise applications. In this role, you will be responsible for developing robust training and inference pipelines, ensuring model robustness through monitoring and retraining mechanisms, and optimizing system performance. You will take technical ownership of ML projects, collaborating closely with platform and DevOps teams to ensure seamless deployment and operation of machine learning solutions. Your expertise will help shape our production architecture, enhance system efficiency, and drive innovation within our AI initiatives.
Qualifications
The ideal candidate will possess at least five years of experience in developing and operating productive machine learning systems within an enterprise environment. A completed degree in Computer Science, Software Engineering, Data Science, or a comparable technical field is required. You should have a strong understanding of MLOps principles, model versioning, feature stores, and lifecycle management. Proficiency in Python, Docker, Kubernetes, MLflow, and at least one hype...