3 data engineering jobs found

If you're a passionate problem-solver who loves diving into complex data sets, possesses broad programming savvy and excels at building reliable data pipelines, you'll love being a data engineer at InterWorks. As part of our Data team, you'll empower our customers to make well-informed, data-driven decisions. Together, we'll combine expert application of new software and technologies with a unique perspective on bridging the traditional Business-IT divide. Technical stuff aside, you'll be part of close-knit and helpful team that delivers nothing but the best work to our customers and each other. Please note that candidates must be located in Germany and have a valid work permit to be considered. his is a German based role for native German speakers (and English C1). What You'll Do Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500 Design, develop and implement large scale,...

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...

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...