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At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This Position reports to:
Digital Solution Engineering Manager
We are an international pioneering technology leader that is writing the future of industrial digitalization. At the forefront is our Software Development Center which provides industry leading software and deep domain expertise to help the world’s most asset-intensive industries solve their biggest challenges. To strengthen our Process Automation Analytics team, we are looking for an R&D Engineer with experience in machine learning to develop an extensive code base for industrial analytics applications. The candidate should have good knowledge of theory of statistics, machine learning, and deep learning. He/she should be focused on development of industrial analytic applications.
Experience
5 to 8 years of overall work experience in data science pertaining to solving industrial analytics problem statements
Education
PhD / M. Tech. / MS (by Research) in any core branch of engineering (Aero., Mech., Chem., Elec., Material Sc., Civil) is preferred. Suitable profiles in the fields of Statistics/ Mathematics / Physics might also apply.
Location
Bengaluru, India
Employment Contract Type
Permanent
Division
Automation
Job Function
Research & Development
Tasks
We are looking for AI/ML Engineers with data science expertise to conceptualize, define and build industry specific digital solutions in our Process Automation Digital organization. The candidate should have a good foundation in statistics, mathematics, and machine learning. He/she will conceptualize and implement machinery and process monitoring, process optimization, and diagnostic digital solutions.
Additionally, he/she will develop working prototypes for evaluation and customer demonstration. The candidate should leverage latest developments in AI/ML field like Agentic AI and LLMs with cross-functional industrial data and develop base algorithms for different asset performance and lifing scenarios under time-variant operating profiles.
Responsibilities
- Develop machine learning and artificial intelligence-based solutions for Automation Digital organization.
- Utilize latest developments in industrial digitization, connected devices and systems.
- Create scalable models and algorithms for integrating into proprietary tools and products.
- Analyze data, understand features, evaluate alternate models, validate hypothesis through theoretical and empirical approaches.
- Create statistical, predictive, and forecasting models for equipment monitoring, failure detection, life estimation, life extension, process modeling and process optimization.
- Build tools and support structures needed for analyzing data, perform data cleansing, feature selection and feature engineering.
- Develop AI agents to automate processes that need human intervention
- Work closely with customers and Business Units (BUs) to architect and develop customer centric solutions tailored to their requirements.
- Practice agile development of digital solution ‘Proof of Concepts’ to effectively articulate the Customer Value Proposition
- Provide industry specific domain insights for rich proposal responses by articulating customer value proposition
Requirements
Technology
- Extensive programming experience in one or more of the following languages: Python (preferred), R, and Matlab®
- Experience with deep learning frameworks like PyTorch and TensorFlow is preferred
- Familiarity with technologies like Docker, Kubernetes and MLflow is good to have
- Experience with architecting and leading the development of intelligent AI agents that automate and scale industrial analytics workflows end‑to‑end
- Agile development of customer centric prototypes / ‘Proof of Concepts’ for focused digital solutions
Domain
- An understanding of failure modes of electro-mechanical systems like pumps, motors, turbines, generators, transformers etc. is preferred
- Some expertise in large language models (LLMs)—including model architectures, and evaluation—to drive robust, production‑ready AI solutions will be helpful
- A good understanding of optimization solvers and experience in using them will be an added bonus
Soft Skills
- Strong oral and written communication skills in English
- Ability to interact with business and operation heads to articulate business value
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.
Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.
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