4 machine learning jobs found in Berlin

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...

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:...

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...

Your role: At BEB+, you'll lay the data and machine learning foundation that creates measurable business value: from robust pipelines and feature engineering to the productive operation of models. Our AI strategy includes building an AI database, cloud integration with ERP/CRM/controlling systems, and a modular, future-proof machine learning architecture. This is precisely where you come in as the central interface between the business departments and IT. Your tasks – our needs: Development and implementation of an AI strategy (analysis, use cases, compliance, risk and change management) AI modeling and MLOps (NLP/LLMs, classification, forecasting, development of various workflows, model governance) End-to-end implementation of AI and BI solutions (PoC MVP) productive rollout, testing) Business intelligence and visualization (dashboards/reports, KPI definition, ad-hoc analyses, performance optimization, UX guidelines) Data Ownership and Governance (Building...