4 machine learning jobs found in Berlin

BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases throughout the entire AI lifecycle. Identifying patterns and trends while simultaneously translating technical results into actionable recommendations and presenting the results to the relevant department and management. Close collaboration with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand your professional skills through interdisciplinary collaboration and targeted training in the areas of data engineering, cloud architecture and data science (individually customizable)...

Oldenburg; Berlin, July 30, 2026 Reference # 5732 DevOps Engineer (m/f/d) Working together for the best charging experience: With a comprehensive and reliable network of fast-charging stations at convenient locations, backed by a fair and transparent charging service, EWE Go GmbH is becoming a leading e-mobility brand in Germany. Be a part of it. - There are currently two openings for this position - Keep the future of e-mobility running. Take end-to-end ownership of cloud-native platforms and help deliver reliable e-mobility services at scale. You can look forward to a role that will challenge and inspire you: You ensure reliable operation and continuous improvement of our digital e-mobility products , as part of a cross-functional team, by shaping and advancing operational excellence across IT systems and applications You develop, provision, and operate AWS cloud application environments using Infrastructure-as-Code with Terraform, for...

BERLIN, MUNICH Tasks As a Consultant Data Engineer (m/f/d), you will actively shape the data-driven future of our clients. You will develop modern data solutions and innovative data products, as well as AI-ready data platforms that help companies make informed and sustainable decisions. Your responsibilities will include, but are not limited to, the following: Support in the design and implementation of robust and scalable data products, data architectures and AI-ready data platforms. You will develop and optimize data pipelines for the integration and transformation of diverse data sources – using modern technologies such as SQL, Python, dbt, Snowflake, Databricks and leading cloud platforms (AWS, Azure, Google Cloud). You will work closely with our customers, analyze professional and technical requirements and translate these into tailor-made data engineering solutions with real added value. Providing and structuring high-quality data for...

BERLIN, MUNICH Tasks Together with experienced colleagues, you will develop the architecture and implementation of modern AI and data-driven platforms in the cloud – with the goal of providing scalable solutions for machine learning and GenAI applications. Automate infrastructure deployment with tools like Terraform or Ansible and create the foundation for the reliable operation of AI workloads, training pipelines, and inference-related systems . Dive into the development and optimization of CI/CD and MLOps pipelines to efficiently train, version, and deploy production-ready models. Support in monitoring the performance of AI systems and distributed data platforms , detecting anomalies early using intelligent monitoring approaches, and initiating automated countermeasures. Actively contribute to the team, exchange ideas and shape the further development of our platforms – especially through prototyping AI applications, experimenting with...