6 machine learning engineer jobs found

To strengthen our team in Wietmarschen-Lohne we are looking for a Reservoir & Production Engineer - Data Analytics (all genders welcome) Upstream optimization, an innovative division of the Rosenxt Group, which was spun off in 2023 and is dedicated to expanding into new business areas. Our focus is on developing advanced technologies for the optimization of energy production. Our state-of-the-art flow measurement device is a clamp-on non-intrusive system, gathering extensive real-time operational process data. To evaluate this data, we develop cloud-based software solutions that utilize classic signal processing algorithms and artificial intelligence (AI). In our interdisciplinary, agile, and autonomous teams, we foster innovations and customer value. What you can expect Analyze oilfield data, with a focus on production rates, field trends, and sensor data Define and support strategies for oilfield operations and optimization Collaborate closely with...

Build the future of financial markets. Build yours. Ready to make a real impact in the financial industry? At Deutsche Börse Group, we'll empower you to grow your career in a supportive and inclusive environment. With our unique business model, driven by 16,000 colleagues around the globe, we actively shape the future of financial markets. Join our One Global Team! Want to learn more? Who we are Deutsche Börse Group is one of the world's leading exchange organizations and an innovative market infrastructure provider. With our products and services, we ensure that capital markets are fair, transparent, reliable, and stable. Together, we develop state-of-the-art IT solutions and offer our IT systems all over the world. Play a key role in our mission: to create trust in the markets of today and tomorrow. Frankfurt am Main Your career at Deutsche Börse Group Area of ​​work Deutsche Börse Group is...

We're looking for a driven and tech-savvy   Working Student   to join our AI team. You'll support the development and maintenance of generative AI models, help build intelligent agent scripts, work on computer vision tasks, and get your hands dirty with data scraping and analysis. If you're excited about large language models, multimodal AI, and computer vision—and want hands-on experience working with real-world applications—this role is for you! Key Responsibilities: Test AI models and agents from a user perspective to evaluate performance, edge cases, and output quality Write and iterate on agent prompts, scripts, and logic Support computer vision workflows: data collection, preprocessing, model evaluation Clean, analyze, and visualize datasets to uncover insights or improve models and define the data quality requirements Collaborate with researchers and engineers on experimentation and documentation You present the...

Big tasks Support in the   analysis and preparation of quality, process and performance data Development and enhancement of   dashboards, reports, and KPIs   to support data-driven decisions Identification of   trends, anomalies and potential for improvement   in quality data Support in the   digitization and automation of existing quality processes and workflows Development of small   automation and analytics solutions   , e.g. with Power BI, Power Automate, Python or similar technologies. Support in   structuring, cleaning, and merging data   from different data sources Collaboration on use cases in the areas of   data analytics, data science and AI   within quality management. Support in the development of digital solutions for   quality monitoring, root cause analysis and continuous improvement Documentation of developed solutions and support for knowledge transfer within the team Ideal conditions Currently enrolled in a...

Tasks During your thesis you will comprehensively design and analyze the automated extraction and processing of knowledge from JSM tickets. Furthermore you will develop a redesigned, dynamic knowledge template for the BODAS community, suitable for both text and video content. In addition you will create a functional prototype (bot or script) demonstrating the process from data extraction to populating the knowledge template. You will investigate the feasibility of connecting to platforms like Synthesia for the automated creation of video tutorials and, if applicable, implement this as a prototype. Lastly you will write your bachelor's thesis, in which you will describe the methodology, results, and the developed concept in detail. profile Education:   Bachelor studies in the field of Computer science, Business Informatics, Software Engineering, Data Science, or comparable Experience and Knowledge:   first practical experience in a...

MUNICH Tasks Have you already gained initial practical experience in cloud, DevOps, or software engineering and are you looking to further develop your skills in modern cloud and platform environments? Are you driven by automation, well-designed technical solutions, and a desire to continuously learn new things? Are you also enthusiastic about using AI tools to increase engineering productivity and operational quality? At   Riverland Reply,   you can expand your skills in real enterprise projects. The following tasks await you: Joint   implementation and further development   of cloud and platform solutions   (AWS, Azure)   in collaboration with experienced cloud and platform engineers – always according to   DevOps and DevSecOps principles. Building and operating   automated infrastructures   using   Infrastructure-as-Code   and modern   CI/CD pipelines,   including the use of AI-supported tools for code quality, testing and automation in...