ABB | Jobs | R&D Data Science Engineer | BigDataKB.com | 11-02-22

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Job Location: Bangalore

R&D Data Science Engineer


Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. With a history of excellence stretching back more than 130 years, ABB has been a pioneer through the four Industrial revolutions and is at the forefront of the Industry 4.0. By delivering digitalization to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. This is an R&D Data Science Engineer role, reporting to the Manager Research & Development in business area Process Automation located in Bangalore. You will be working at Ability Innovation Center (AIC), home to the largest technology and engineering pool in ABB globally and is a part of ABB Global Industries and Services Private Limited, a subsidiary of ABB. It is based in Bangalore, the silicon-valley of India. Its unique infrastructure places research, development, engineering, and service teams under one roof, increasing collaboration and reducing time to market, with no compromise on quality. If you are looking for an environment that actively blends the boundaries between technology, data, domain and Industrial AI to create next generation analytics solutions for processes automation customers and helping them on their journey towards autonomous operations, then this is the team for you. Join ABB and harness the power of our diverse global network, as you collaborate with and learn from our world-class teams. Above all, challenge yourself every day. Letโ€™s write the future, together.


Your responsibilities

  • Understand the use cases and key business requirements for data driven solutions in cooperation with ABBโ€™s business divisions and end customers.
  • Investigate and evaluate efficient system architectures, machine-learning algorithms and software engineering approaches for computation in cloud, on-premise or virtual environment for specific industrial applications requiring process automation and data analytic such as anomaly detection.
  • Perform data exploration, pre-processing, analysis and evaluation.
  • Explore and visualize the data to gain an understanding of it and then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Provide support for pilot evaluation of analytics solution, technology evaluation and productization of analytics-led solutions in pulp and paper industry.
  • Should be proficient or have the capability to become proficient in development, evaluation, testing of analytics solutions, developing analytics work flow, model maintenance and troubleshooting software issues.


Your background

  • A bachelorโ€™s or masterโ€™s degree in Software Engineering or equivalent field.
  • Required 2 to 5 years of relevant experience in usage of Data Analytics and Machine learning libraries for monitoring, diagnosis and predictive maintenance and relevant data visualization tools.
  • Should have good knowledge of Statistical Analysis, Machine learning (Supervised and Unsupervised learning techniques), Deep Learning, Model Optimization, Time-series analysis etc.
  • Preferably have an experience with Azure IoT or similar commercial or open source IoT platforms.
  • Should have proficiency in R and Python. Exposure to C#, .NetCore is added advantage.
  • Should have ability to communicate effectively in English with internal and external partners including academic community.
  • Have good knowledge and exposure to DevOps processes (CI/CD), dockers and containers.


More about us

We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website www.abb.com. #LI-Hybrid

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