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
What we believe in
ABB’s Process Automation business area enables customers to operate some of the world’s largest and most complex industrial infrastructures, helping them outrun – leaner and cleaner.
We offer a broad range of automation, electrification and digital solutions for process, hybrid and maritime industries, including industry-specific integrated control and software as well as measurement and analytics solutions and services.
Your role and responsibilities
We are looking for data scientists with expertise to conceptualize, define and build industry specific digital solutions in our Automation Digital organization. The candidate should have a valuable foundation in statistic, machine learning and optimization theory and practice.
He/she will develop machine learning models to define operation of industrial assets and manufacturing processes. He/she will also conceptualize and implement algorithms to solve process optimization and scheduling problem statements. He/she should be able to leverage not only open-source optimizers present in packages like SciPy Optimize, Google OR-Tools but also commercial optimizers like IBM CPLEX and Gurobi.
Additionally, he/she will develop working prototypes for evaluation and customer demonstration. The candidate should leverage latest developments in AI/ML field with cross-functional industrial data and develop base algorithms for different asset health, process control and schedule optimization under time-variant operating profiles. The candidate is also expected to be familiar with solving various type of optimization problems like multi-objective optimization, Mixed Integer Linear / Nonlinear Programming, Quadratic Programming, Trav
📌 Data Science (Bengaluru)
🏢 ABB
📍 Bengaluru
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