43 machine learning 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...

Go straight to the new job. About Tele Columbus AG: Tele Columbus AG is one of Germany's leading fiber optic network operators, reaching more than three million households. Under the PŸUR brand, the company offers high-speed internet including telephone service, as well as more than 200 TV channels on a digital entertainment platform that combines traditional television with on-demand video entertainment. Based on open networks, the Tele Columbus Group collaborates with housing associations and municipalities to implement customized partnership models for high-performance gigabit broadband connections via fiber optics directly to homes (FTTH). For business customers, the PŸUR Business brand provides carrier services and enterprise solutions based on its own fiber optic network and data centers. The entire Tele Columbus Group infrastructure is powered entirely by renewable energy. Tele Columbus AG is headquartered in Berlin and has branches in Leipzig, Unterföhring,...

Location Germany - Berlin Contract Full time Job category Software Engineering - Machine Learning THE ROLE & THE TEAM We are looking for a Senior Machine Learning Engineer to enhance Zalando's Machine Learning Ops Platform team, making them more scalable, efficient, and impactful. The primary focus of the work will involve contributing to the development, maintenance, and monitoring of MLOps Infrastructure, with key responsibilities including work on the Feature Store, Airflow pipelines, Databricks jobs, and associated observability systems. Additional tasks may be assigned as needed to support broader platform initiatives and evolving project requirements. Working closely with other Machine Learning Engineers, Data Scientists and Software Engineers, you will help shape the future of DARA ML & Data platform at Zalando. WHAT WE'D LOVE YOU TO DO (AND LOVE DOING) Design and build foundational ML platform components, including systems for...

(Junior) AI Engineer (m/f/d) – Focus on Machine Learning Scheppach is a long-established manufacturing and trading company that has developed into a renowned, globally active supplier of a comprehensive portfolio of machines and power tools. The group employs a dedicated team of over 400 people who, motivated by our team spirit #teamscheppach, continue to contribute to the company's success story every day. To further strengthen and expand our market position, we are looking for employees who are passionate about pursuing these goals together with us. Apply now to the Scheppach Group as (Junior) AI Engineer (m/f/d) – Focus on Machine Learning Your responsibilities include: Development of machine learning models for optimizing processes in production, logistics, purchasing and sales Development, training and evaluation of ML models as well as monitoring and continuous improvement of existing models Development of prototypes and support in transferring...

What can you expect? Machine Learning in technology consulting:   Design and implement ML solutions throughout the entire project lifecycle – from use case identification and proof of concept to integration into complex IT and process landscapes. Process Transformation & Optimization:   Analyze existing processes, identify automation and efficiency potentials, and implement data-driven improvements using modern ML and AI methods. Work with   Python, common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and cloud/MLOps tools   .   Develop prototypes and securely deploy ML models into our customers' product environments. AI Governance & Digital Compliance:   I advise our clients on   responsible AI use   , establish AI governance structures, and consider legal and ethical requirements for digital compliance. Workshops & Enablement:   Prepare complex ML topics in an understandable way,   lead AI workshops and training sessions...

YOUR TASKS You will support the integration of (generative) AI technologies into existing application software or develop new, innovative solutions with AI components together with the team. You will assist in the analysis and preparation of data specifically for (generative) AI use cases. You will support the evaluation and optimization of software with AI components, especially with frameworks like LangChain, as well as through the use of APIs like OpenAI or Ollama. You will provide support in cloud-native development projects with a focus on AI-powered software solutions. You will support the integration and use of AI-compatible database systems (e.g., relational, vector, or graph databases) for AI applications. You research new technologies and methods in the field of (generative) AI (e.g., ModelContextProtocol, agent technologies and modern AI integration frameworks). YOUR PROFILE You are enrolled in a degree program with AI content and have a...

What We Do Contiamo is a premier consulting firm that brings together an interdisciplinary team of senior experts in data science, data engineering, mathematics, business consulting, and change management. Our extensive experience allows us to deliver high-quality data solutions, seamlessly integrating deep business know-how. We collaborate with industry leaders such as Mercedes Benz, CBRE, and Deutsche Telekom to tackle their most pressing business challenges through intelligent data usage. As a trusted partner, we pride ourselves on delivering scalable cloud applications and leveraging open-source tools to find elegant solutions to complex problems. At Contiamo, our culture thrives on fast iterations and a high-trust environment where everyone is given significant responsibility. We believe in the power of a supportive atmosphere, valuing both individual contributions and the joy of teamwork. Our projects span a wide range of exciting data use cases, including:...

KWS Berlin GmbH   is seeking an   experienced HR Analytics Expert in HR Systems and Data Management (m/f/d)   to join our Global Human Resources Expert Hub Systems & Data Management team. This role is pivotal in driving strategic HR analytics initiatives, ensuring data governance, and delivering advanced reporting solutions to support data-driven decision-making across the organization.   The role is full-time and permanent. Key Responsibilities Strategic HR Analytics:   Develop and implement a global HR analytics strategy aligned with business objectives. Drive predictive and prescriptive analytics initiatives and translate complex data into actionable insights. Data Governance & Quality:   Establish and maintain HR data governance frameworks. Ensure accuracy, consistency, and compliance (including GDPR). Define and monitor key HR KPIs. Advanced Reporting & Visualization:   Design and deliver interactive dashboards and reports using modern...

mobile.de is Germany's largest vehicle marketplace, with more than 1.6 million listed cars, commercial vehicles, motorcycles, and e-bikes. Both private customers and registered vehicle dealers use the platform and benefit from more than 120 million visits per month. As a “one-stop shop,” mobile.de's offering includes not only buying and selling, but also financing and leasing solutions. Founded in 1996, the company is a subsidiary of Adevinta, a global leader in online classified portals. Based in Berlin-Charlottenburg, we offer a dynamic environment where growth, learning, and collaboration are at the heart of everything we do.If you are driven by an eagerness to disrupt, have a passion for collaboration, and are excited about shaping the future of mobility, we would love to hear from you. mobile.de is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation,...

Your mission Build, test, refine. You will rapidly work with AI frameworks and agents, connect them into larger ecosystems, and actively contribute to system design, not just implement it. Your focus is on developing, integrating, learning from results, and iterating toward robust, production-ready software with exceptional quality. What you'll do: Develop using AI to custom orchestrations required for a high quality and fast deployment. Collaborate with the Systems Architect on structure, logic, and orchestration. Experiment with new approaches, models, and coordination strategies. Connect agents so they share data and work together in real time. Continuously test and adjust agents based on feedback and performance metrics. Bring ideas to the table on how to improve the overall system. Your profile Solid coding skills (Python, TypeScript, or similar). Ability to quickly understand a process and translate it into a functional prototype...

Join the Cavalis team At cavalis, we believe the next generation of consulting is hands-on, data-driven and powered by AI. We are looking for Forward Deployed AI Engineers who combine skills in data science, machine learning and process analytics to deliver measurable business impact. In this role, you will work directly with our clients, from scoping challenges to building and deploying solutions in their environments. You will implement advanced analytics and AI use cases, and you will ensure that our clients unlock the full potential of their data and processes. Why Cavalis Be part of a growing consultancy where your work makes a visible difference Work on projects that span process mining, advanced analytics and AI/ML – sometimes combined, sometimes standalone. Develop and deploy real solutions with SQL, Python and AI frameworks inside customer environments. Work closely with clients, from operational teams to senior executives. Grow continuously through...

What awaits you Do you love making data flow, processing large amounts of data efficiently, and building clean pipelines? Is your focus clearly on development and data processing? Then you've come to the right place You work in a consulting environment and develop new and varied data solutions for different clients. You will develop scalable ETL/ELT data pipelines for batch and streaming processing and work with Spark / PySpark, Python and SQL. You implement data models according to Kimball, Data Vault, or Lakehouse principles. You transform, normalize, and denormalize data from various source systems. You orchestrate data pipelines with Airflow or similar tools and work with Databricks, Snowflake or similar platforms. You support data analysis and machine learning pipelines. You ensure quality through testing, documentation, and CI/CD. What you bring You bring several years of professional experience in the above-mentioned topics and have very...

Join the cavalis team At cavalis, we believe the next generation of consulting is hands-on, data-driven and powered by AI. We are looking for Data Science & Management Consultants who combine analytical thinking, process expertise and data understanding to deliver measurable business impact. In this role, you will work directly with our clients, from scoping challenges to translating data into actionable insights. You will implement advanced analytics and process intelligence use cases, and you will ensure that our clients unlock the full potential of their data and operations. About us cavalis is a boutique consultancy headquartered in Munich, founded by former Celonis leaders. Our mission is to build the Data Intelligence Factory of the future. We are rooted in process mining excellence, but our vision goes further. We transform enterprise data into tangible outcomes by combining process expertise, data science and AI. Our founders have helped shape the...

We are seeking a skilled Data Science Engineer to design, build, and deploy production machine learning solutions for an enterprise Fleet Cascading & Optimization Platform managing 46,000+ vehicles across 545+ locations. In this role, you will develop and operationalize demand forecasting, cascading optimization, contract intelligence (NLP/Vision), and out-of-spec prediction models with a strong focus on explainability and business impact. You will own the end-to-end ML lifecycle — from experimentation and model development to scalable production deployment on AWS—working closely with engineering and business stakeholders to deliver reliable, data-driven outcomes. Must-Have Requirements Programming & ML Frameworks: Python; PyTorch or TensorFlow; scikit-learn; XGBoost or LightGBM; pandas; NumPy Time Series & Forecasting: BSTS; Prophet; Temporal Fusion Transformer (TFT); hierarchical forecasting with MinT reconciliation Optimization: Linear Programming and...

Did you know that in-app ads are sold in real-time auctions before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a few hundred milliseconds. At adjoe, we are building one of those ad networks, competing against giants like Google and Meta to present our ads to the right users. Whether you are an AdTech veteran or new to the industry, the challenge we face is equally compelling: managing over 10 billion predictions daily to balance advertiser goals, publisher expectations, and user experience. The adjoe Ads Data Science team is the heart and brain of this operation. We don't just analyze data; we build the core logic that drives our revenue. Leveraging technologies ranging from linear regression to state-of-the-art Deep Learning (GDCN), we manage the entire bidding lifecycle—including conversion prediction, user quality estimation, and bid shading. We believe in...