ABB Group - Scientist - Machine Learning (2-6 yrs)

Job Description :

- 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. Communicating project results to experts and non-expert audiences.

- Creating Intellectual Property - Invention disclosures and publishing in scientific conferences and journals. Living ABBs core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

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 including academic community.

Women candidates preferred