Job Description

Data Science and AI Specialist

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At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story.

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This position reports to

Technical Authority

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Your role and responsibilities

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

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Qualifications for the role

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.
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More about us

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. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory It has come to our attention that the name of ABB is being used for asking candidates to make payments for job opportunities (interviews, offers). Please be advised that ABB makes no such requests. All our open positions are made available on our career portal for all fitting the criteria to apply. ABB does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection to recruitment with ABB, even if is claimed that the money is refundable. ABB is not liable for such transactions. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning