6 big data jobs found

Orbem is an impact-driven deep-tech scaleup with global reach, founded in Munich, Germany and now expanding internationally with our newest office in Houston, Texas.   We develop fast, accurate, and accessible imaging solutions that provide access to otherwise unattainable sources of knowledge. We seek to make a difference – and develop solutions to sustainably feed the world, accelerate the transition to a green economy, and transform disease detection. Join us   on our mission to unleash AI-powered imaging for everything and everyone. Staff Machine Learning Engineer (f/m/d) Starting date:   As soon as possible Yearly Salary:   €90,000 - €100,000 (fixed range, annual gross) Equity:   €40,000 to €80,000 in company shares Benefits:   Up to €5,000 annually Work model:   Full-time, Hybrid (Munich, Germany) Your role As a   Staff Machine Learning Engineer , you will be at the forefront of building the intelligent...

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 mission Role Summary We are looking for a Senior Backend Engineer /   Tech Lead   who can operate as a senior individual contributor while also setting technical direction, establishing engineering standards, and mentoring the team as we grow. This role is ideal for someone who has already worked as a senior/staff-level engineer or informal tech lead, and wants to take on more architectural ownership and long-term influence in a fast-moving AI-centric environment. You will partner closely with the CPTO and collaborate with backend, AI, and product teams to deliver high-impact systems. Architecture & System Ownership Design and own core backend architecture across multiple services Build and scale distributed, event-driven systems Establish patterns for reliability, performance, and observability Own major technical decisions and ensure long-term maintainability AI-Enabled Systems Architect...

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a  flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by  innovation  and looking for  team players  who want to actively build our company. But, we also believe in  balancing productivity with self-care . That's why we offer all of...

Your mission Design and maintain scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, acoustic, depth, IMU, and other modalities). Own and improve datasets for object detection and classification tasks, ensuring statistical robustness, diversity, and representativeness. Build and operate active learning loops to select high-value samples, reduce annotation cost, and continuously improve model performance. Write robust preprocessing pipelines using Python, NumPy, Pandas, and augmentation libraries like Albumentations. Manage labeling workflows, including QA rules, label consistency checks, vendor coordination, and dataset versioning. Collaborate with ML Engineers to fine-tune, train, and evaluate object detection models and feed insights back into the data pipeline. Analyze model weaknesses, uncover blind spots, and drive dataset improvements through statistical diagnostics and drift/bias detection. Create...