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:


Digital Solution Engineering Manager

Your role and responsibilities:


We are looking for a Sr software Engineer to join our Industrial Automation Digital Organization. The role requires one to responsible for AI/ML model validation, performance engineering, industrial data preparation, planning, automating simulation data and executing performance benchmark to deliver a product of the highest quality.


This role is contributing to the Process Automation Business for Digital Division in Bangalore- Southfield, India


You will be mainly accountable for below:

Design and review test development frameworks for machine learning models Work with ML engineers to make sure that functional & non-functional requirements are addressed Establish and improve metrics collection and reporting Incorporate research of industry trends and apply best practices in quality engineering practices used in evolving machine learning techniques Set up reference data generation pipelines using various sensors for capturing ground truth data. Collect and maintain training and evaluation data based on the created test plans and test cases. Integrate new data into existing ML models to track performance improvements

Qualifications for the role:

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Bachelor/Master's degree in computer science or equivalent from premier institutes. Overall 8 + Years of experience with expertise in below: 5+ years of experience with Python along with exposure to Git, Docker, Kubernetes, Helm, Kubectl Exposure to Workflow orchestrations tools like Apache Airflow, Prefect, MetaFlow, Luigi, Machine learning frameworks e.g., PyTorch, TensorFlow, ONNX Exposure to Model serving in ML and working with frameworks like TensorFlow Serving, TorchServe, KFServing, Seldon, BentoML etc. Understanding of machine learning techniques, data structures, algorithms, statistics Expertise in developing automation pipelines & frameworks for verification of machine learning models Experience setting up automated CI / CD environments (e.g., Git, Kubernetes) and ML content management systems (e.g., Supervisory)

Nice To Have

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Experience in Microsoft Azure ML platform/ Microsoft Azure Certifications

More about us

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ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area (>$6B revenue in 2021, 22,000 employees), automates, electrifies and digitalizes some of the most complex industrial infrastructures on this planet. Through its five divisions, it serves customers in the energy, process and hybrid industries - from hydrocarbons, chemicals, water, mining, minerals, pulp & paper to marine and ports, and many more. PA stands at the heart of some of the most important shifts in society, helping the energy-intense industries to safer, smarter and more sustainable operations to enable a prosperous, low-carbon society.



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