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:


Technical Authority

In this role, you will have the opportunity to support engineering activities in all types of project sizes and complexities, under the supervision of senior engineers. Each day, you will complete the tasks cost-effectively and in accordance with contract specifications, quality standards, safety requirements, and cybersecurity policies and standards. You will also showcase your expertise by collecting data and supporting production of the engineering design.


The work model for the role is: L1-Onsite


This role is contributing to the Process Automation Business in Energy Industries in Bangalore, india You will be mainly accountable for:

Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns. Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems. Evaluate the performance of machine learning models and fine-tune them for optimal results. Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders. Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes. Work with data engineers to integrate, transform, and store data from various sources.

Qualifications for the

role

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Engineering graduate with exposure to Data science from a reputed institution 2+ Years of experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction. Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have. Agile development of customer centric prototypes or 'Proof of Concepts' for focused digital solutions Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

More about

us

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The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons, chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their efforts to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division's goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle.



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.

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