Scientist - Machine Learning

Job 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 Department Lead Your role and responsibilities: In this role, you will have the opportunity to explore emerging technologies, creates intellectual property, and strengthens existing and future ABB offerings. We also provide R&D consultancy services to ABB Divisions and reap the benefits of open innovation by collaborating with Universities and startup companies. You will work in dynamic and creative teams, with a wide range of experience and expertise, carrying out applied research projects developing software engineering techniques to build intelligent systems for process industries. The work model for the role is Hybrid. #LI-Hybrid This role contributes to the India Corporate Research Center (INCRC), located in Bangalore. You will be mainly accountable for: Use cases and requirements gathering in cooperation with ABB’s business divisions and end customers for data-driven solutions along with evaluating and developing of mathematical algorithms and machine learning libraries for applications related to Industrial Process Automation business. Identifying and evaluating multiple design approaches and corresponding architectural solutions with a design rationale for machine learning systems. Developing proof of concepts, prototypes, and supporting pilot evaluation and productization of solutions. Adapting and optimizing machine learning algorithms to better utilize GPU and distributed clusters and communicating project results to experts and non-expert audiences. Creating Intellectual Property - Invention disclosures and publishing in scientific conferences and journals. Qualifications for the role: Ph.D. in a topic related to AI/ML in engineering from a reputed University with a good publication record and with a minimum of two years of relevant industrial research or post-doctoral experience. Proficiency in one or more programming languages and corresponding ML frameworks and libraries for interacting with industrial data. Good knowledge of supervised, unsupervised, semi-supervised, reinforcement learning techniques, time-series analysis, signal processing and related areas. Exposure to design, implementation and deployment of industrial machine learning systems with MLOps and efficient use of GPUs is preferred. Should have ability to collaborate and communicate effectively in English with internal and external partners What's in it for you: We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. More about us: Our Process Automation business offers a range of solutions for process and hybrid industries, including our industry-specific integrated automation, electrification and digital solutions, control technologies, software and advanced services, as well as measurement & analytics, marine and turbocharging offerings. #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. #RunWhatRunsTheWorld Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.