5 senior machine learning engineer jobs found

Our data science team drives demanding data and machine learning projects in the media sector. As a TV broadcaster and digital media company, we use machine learning for content analysis, content automation, quality assurance, and planning automation in our content hub. Artificial intelligence is a key component of RTLZWEI's corporate strategy. The department's core task is the integration of self-hosted ML models as well as foundational models (e.g., ChatGPT or multimodal LLMs) into agent-based workflows for content creation and distribution. TASKS You develop, evaluate, and operate multimodal agentic workflows based on computer vision, NLP, and especially multimodal large-language models. Together with cloud experts, data scientists and data engineers, you will integrate AI models into our content hub. Together with our architects, you will implement container- and cloud-based solutions (e.g., Docker, Kubernetes, EKS) to deliver our machine learning services. You...

This technology company develops highly specialized sensor systems for industrial applications worldwide. The combination of hardware expertise, data analysis, and artificial intelligence makes its solutions unique. Research, development, and practical application go hand in hand here. Innovation arises from deep technical understanding and the courage to pursue new approaches. The environment is international, dynamic, and technologically demanding. Your tasks Development and optimization of machine learning models for sensor data Analysis of large datasets and feature engineering Collaboration with hardware and software teams Validation, testing and deployment of ML models Documentation and continuous improvement of existing algorithms Your profile Studies in computer science, data science, mathematics or a comparable field Excellent knowledge of Python and common ML frameworks Experience with signal processing and...

Your tasks You will help us reduce the time-to-value for new AI features, increase their response/result quality, and improve efficiency. You develop production-ready AI features as APIs/microservices and build RAG pipelines with vector search, guardrails, and evaluation metrics. You design and implement agents (tool-use, plan-execution) and cooperating multi-agent workflows, ensuring quality and security through appropriate testing. You work closely with your team, frontend, infrastructure and other departments, and actively contribute to the further development of our AI landscape. You enjoy using modern AI solutions or AI coding tools in your work and are interested in continuously increasing the use of AI coding in your team. Your profile Successfully completed studies in a relevant field or a comparable qualification. Several years of practical experience in the software development of product-ready ML/AI applications. Excellent...

G+D makes the lives of billions of people around the world more secure. We create trust in the digital age with integrated security technologies in three business areas: Digital Security, Financial Platforms and Currency Technology. We have been a reliable partner for our customers for over 170 years with our innovative solutions for SecurityTech! We are an international technology group and traditional family business with over 14,000 employees in 40 countries. Creating Confidence is our path to success. Trust is the basis of our co-operation within G+D. The whole world trusts us when it comes to physical or digital currencies. We increase the security and efficiency of the cash cycle in collaboration with central banks and the entire currency industry. As the market leader in advanced currency management, would you like to join us in shaping the future of payments? We are looking for a Working Student (m/f/d) to support the R&D Strategy department at our...

Your mission Define how AI can understand, reason about, and discover materials Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline. As Head of AI Research, you will define and lead Dunia's AI-for-Materials agenda at the intersection of machine learning, physics, chemistry, and automated experimentation. This role is about more than applying existing ML techniques to scientific data. It is about inventing the representations, learning paradigms, and evaluation frameworks that allow AI to reason about matter across scales. You will spearhead the development of Dunia's Materials World Model, shaping how AI interacts with experiments and simulations, and how scientific insight is translated into systems that reliably produce new materials with real-world impact. Your tasks will include: Set the intellectual direction for AI for Materials...