Sr Software Engineer

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.

This position reports to

Digital Solution Engineering Manager

Your role and responsibilities

We are looking for software professionals to join our Industrial Automation Digital Organization. The role requires to be part of a team with experience on DevOps environment with focus on software lifecycle automation, Build and Release management and CI/CD. Position will primarily focus on engineering modern and agile environments, using various DevOps & Automation Tools to help with Application Lifecycle Management The work model for the role is : #LI-Onsite This role is contributing to Process Automation business for Process Automation Digital division based in Bangalore, India You will be mainly accountable for: • Design and develop large language models (LLMs) for various applications. • Create and optimize prompts to improve the performance and accuracy of generative AI models • Collaborate with data scientists and machine learning engineers to integrate LLMs into our AI solutions. • Implement and manage AI models on Azure cloud services. • Conduct experiments and analyze results to refine model performance. • Stay up-to-date with the latest advancements in AI, machine learning, and prompt engineering. • Document processes, models, and experiments for future reference

Qualifications for the role

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• 6+ years of proven experience in developing and deploying large language models (LLMs).
• Strong proficiency in Python programming.
• Experience with Azure cloud services and tools.
• Solid understanding of data science concepts and techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced and dynamic environment
• Primary Skills: Python with Machine Learning, Optimization techniques, NLP, Deep Learning techniques – RNN,
• CNN
• Secondary Skills: SQL, MongoDB, Flask development
• Additional: Azure deployment, Kubernetes, ML with Spark Compute
• Preferred Qualifications:
• Experience with other cloud platforms (e.g., AWS, Google Cloud).
• Familiarity with natural language processing (NLP) techniques.
• Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with version control systems (e.g., Git).

More about us

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. 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"