(Senior) Scientist – AI and Graphs (80 – 100%) at ABB

Mannheim, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

02 Apr, 26

Salary

0.0

Posted On

02 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Graphs, Graph Databases, Natural Language Processing, Data Engineering, Python, MLOps, DevOps, Automation, Control Engineering, Mechanical Engineering, Electrical Engineering, Cross-Cultural Communication, Creativity, Initiative, Result-Orientation

Industry

Automation Machinery Manufacturing

Description

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: R&D Team Lead The work model for the role is: hybrid #LI-Hybrid Key responsibilities At the ABB Corporate Research Center Germany (https://www.youtube.com/watch?v=Vd4BLrNbvlc), we research and prototype innovative technologies that shape ABB’s future product portfolio for sustainable automation, digitalization, and electrification. We work in cross-functional teams at the intersection of industrial research, end-customers, start-ups, and universities globally. You will be mainly accountable for: You bridge the gap between academic AI and machine learning research and industrial applications. You adopt cutting-edge AI technologies to enhance the reliability of industrial assets, improve the efficiency and resilience of industrial processes and drive the future of autonomous operations. You explore how graphs can benefit various AI and machine learning solutions and bring them closer to real world to address industrial challenges. You work with diverse types of industrial data, such as textual, tabular, image, and time series data. You build proof-of-concepts and prototypes that convince internal stakeholders to commercialize your research results. You work closely with ABB’s end-customers to develop innovative industrial AI solutions, e.g. in public funded consortia projects like https://explain-project.eu/, https://keen-plattform.de/, or https://www.projekt-aprosys.de/ You participate in agile applied-research projects and work collaboratively with global ABB product development teams, ABB’s technology partners and academic institutions. You present your work to expert and management audiences within and outside ABB, as well as at scientific conferences/journals and trade fairs. You secure intellectual property by patent applications. You strongly develop your technical and soft skills to boost your career at ABB. Qualifications for the role You hold a PhD in computer science, mathematics, data science or a comparable field. You have deep expertise in graphs, such as knowledge graphs, ontology, graph neural networks, as well as sound expertise in AI and machine learning. You have hands-on experience with graph technologies, such as graph databases (e.g., neo4j, GraphDB), graph modeling frameworks (e.g., RDF, OWL, SHACL), and Natural Language Processing techniques such as Named Entity Recognition, Relationship Extraction, Entity Resolution, and Entity Disambiguation, in industrial applications. You have hands-on experience in software development and ideally also programming for data-driven solutions, incl. data engineering. You are well acquainted with Python; hands-on experience with MLOps and/or DevOps is beneficial. Domain know-how in certain engineering fields, such as automation and control, mechanical engineering, and electrical engineering, is a plus. Proficient English skill is mandatory, additional German skill is beneficial. We value cross-cultural communication skills, creativity, initiative, enthusiasm, and result-orientation to bring your innovations towards new products and digital offerings. What we offer Great colleagues with deep technical expertise in various areas such as data science, AI, software architecture, and cyber security. The chance to shape the forefront of research in topics such as AI, electrification and sustainability. Flexible and family-friendly work environment with great AI research infrastructure. Empowered, diverse and international working culture. A competitive salary and benefits package (incl. e.g., training programs, insurances, pension plans, job ticket and job bike, etc.). Excellent technical, personal and managerial development opportunities and various career opportunities Benefits Retirement Plan Canteen Flexible Work Practices Employee Share Acquisition Plan Please note: in the case of equal suitability, people with severe disabilities and their equals are given preference. ABB AG +49 (0) 621 381 3500 Be part of something bigger. This is where progress is powered, teams initiate action, and we move the world forward – together. Run What Runs the World. #ABBCareers #RunwithABB #Runwhatrunstheworld We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

Responsibilities

You will bridge the gap between academic AI and industrial applications, enhancing the reliability of industrial assets and processes. Additionally, you will explore the benefits of graphs in AI solutions and work closely with end-customers to develop innovative industrial AI solutions.