10 machine learning jobs found

Applications should be submitted exclusively online (via our application portal) with the usual documents – quoting the reference number – by December 17, 2025. Contact person for content-related questions: Prof. Dr.-Ing. habil. Björn Hein, Tel.: +49 721 9251942. Karlsruhe University of Applied Sciences - Technology and Economics, Human Resources Department, P.O. Box 24 40, 76012 Karlsruhe, Germany. Telephone: +49 721 9252391. Applicant management: Ms. Sarah Flügel, Telephone: +49 721 925-1051. Karlsruhe University of Applied Sciences is committed to increasing the proportion of female employees; qualified women are expressly encouraged to apply. Applicants with disabilities will be given preference if equally qualified. For further information, please contact the university's representative for employees with disabilities by email (sbv@h-ka.de). The Institute for Robotics and Autonomous Systems (IRAS) is seeking to fill the following temporary position to strengthen our team...

Your tasks As a Data Scientist at AIPERIA, you'll develop the AI ​​models that ensure bakeries and food retailers only produce what's actually sold. You'll work with real sales, weather, event, and other data, build robust forecasting models, and ensure our recommendations are scalable, stable, and demonstrably value-adding in practice. Together with us, you'll reduce food waste and improve profitability in the retail sector. Your tasks Development & further development of ML models:  You design, implement and improve forecasting models for inventory optimization in bakeries and the food trade. Feature Engineering:  You develop new features (e.g., based on weather, event, or product range data) and test their impact on forecast quality. Retraining, Monitoring & MLOps:  You plan and conduct regular retrainings and establish monitoring to detect data and model drift early. Data Pipelines & Production Readiness:  You...

ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT THE ROLE We are looking for a   Risk Data Analyst   to join our antifraud team and help develop advanced payment security systems for the gaming industry. If you have a...

Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. You are a good fit if you: Have over 3+ years of professional experience in data science or applied analytics. Are  highly skilled in Python and Jupyter notebooks. Have experience using libraries including...