7 artificial intelligence jobs found in Berlin

Materna Information & Communications SE Berlin Bremen Dortmund Dresden Düsseldorf Erlangen Frankfurt am Main Hamburg Hanover working from home Koblenz Cologne Munich Stuttgart Do you want to design stable, secure, and high-performance IT infrastructures using modern DevOps approaches? As an AI DevOps Engineer at Materna, you'll work on pioneering IT projects for the public sector and actively contribute to the digitalization and modernization of government processes. In an innovative environment with modern on-premises infrastructures, you'll design and operate mission-critical systems – with a high degree of autonomy, close teamwork, and development opportunities, including in the cloud. Shape the digital future with us and join #TeamMaterna as an AI DevOps Engineer (m/f/d)! As an AI DevOps Engineer (m/f/d) You will take on the role of sub-project manager in the DevOps environment and coordinate tasks for...

At Seven Senders, we connect people and markets, making international shipping simple. We are Europe's leading platform for cross-border parcel delivery, supporting e-commerce companies in scaling internationally and reaching millions of consumers across borders. By combining cutting-edge technology with strong local carrier networks, we ensure parcels move efficiently from warehouse to doorstep — whether speed or cost efficiency is the priority. Founded in Berlin in 2015, Seven Senders has grown into a team of 200+ logistics and tech experts. Today, we proudly work with clients such as Flaconi, Shop Apotheke, and Tamaris, shaping the future of European delivery together. Job Description Seven Senders is growing, and so is the regulatory and contractual complexity that comes with running a cross-border logistics platform. We're looking for a senior generalist to own legal, compliance, data protection, and AI governance topics for the business; and to build a...

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...

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)...

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...

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers. We foster an inclusive culture and are looking for diverse, talented people to join Alcon. WaveLight GmbH is a global leader in developing and producing innovative laser systems for use in eye surgery, as well as surgical planning and image guidance for cataract surgeries. Since 2009, WaveLight has been a wholly-owned subsidiary of Alcon, enabling gentle and highly precise correction of vision impairment. As a   Senior Software Engineer (m/w/d)   supporting our   Surgical R&D Team , you will contribute to the development of innovative software solutions for WaveLight and VARION products at our...

Big tasks Development, implementation and optimization of machine learning models at the proof-of-concept level Scaling of machine learning models for use in production systems, taking into account performance, scalability and security. Design, testing and management of data pipelines for training and production systems Data acquisition, quality assurance, and feature engineering Close and independent collaboration with data scientists, software developers and other teams to integrate models into existing workflows Research, evaluation and selection of suitable machine learning algorithms and technologies, based on current research findings Target-group-oriented documentation and presentation of the developed models and their results Ideal conditions Studies in Computer Science, Computer Engineering, Mathematics, Statistics, Engineering or a comparable field of study Relevant experience in the development and implementation of machine learning...