About the job
Transforming experiments into production. From model to scale.
Are you a skilled MLOps Engineer passionate about ensuring that machine learning models transition seamlessly from notebooks to reliable production environments? Do you aspire to assist organizations in making AI sustainable, scalable, and manageable across sectors such as banking, insurance, energy, and e-commerce?
At adesso, we are looking for a Senior MLOps Engineer who merges technical expertise with a strategic overview and ownership.
Your Role – From Model to Production
As a Senior MLOps Engineer, you will spearhead projects that transform machine learning models into robust production solutions. You will design and construct ML architectures, pipelines, and CI/CD processes that support the entire lifecycle: from training and deployment to monitoring and optimization.
Your understanding of how cloud platforms, data infrastructure, and AI interconnect will enable you to translate these elements into practical solutions. With your technical depth and strong communication skills, you will help clients advance and contribute to the ongoing development of our MLOps offerings.
Your Responsibilities
Lead and execute MLOps projects focusing on scalability and reliability.
Design and implement ML architectures and pipelines for training, deployment, inference, and monitoring.
Set up and optimize CI/CD processes for machine learning.
Automate ML workflows on cloud and data platforms such as Azure, AWS, Databricks, Snowflake, and Dataiku.
Monitor and enhance model performance, cost-efficiency, and stability in production.
Coach colleagues and share best practices.
Contribute to building MLOps services, propositions, and sustainable client relationships.
