Machine Learning Engineer Full-time

Machine Learning 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. That’s our story. Make it your story.

This position reports to

R&D Team Manager

Your role and responsibilities

We are ramping-up newly created software team in Kraków that is developing solutions and service applications for installed base management, assessment of substations, maintenance planning and recommended actions, user account management and safety applications. As a Machine Learning Engineer you will act as a receiver of the statistical models from research projects. You will use existing infra from big vendors like Microsoft/AWS and will adopt consolidated techniques. We look for somebody who have reliability/statistical modelling capacity (not pure AI) complemented with sound experience in AI/ML and someone who is more an expert in applied AI with Mechatronic/Robotics education. Work model: hybrid #LI-Hybrid Your responsibilities: • Implement predictive and prescriptive (recommended actions) analytics from sourcing data, modeling, to their deployment in production for cloud and on-premise applications. • Responsible for data analytics lifecycle covering data discovery, preparation & processing, data model design, model building & deployment, together with measuring its effectiveness and subsequent optimization. • In collaboration with research teams create innovative Machine Learning (ML) and Large Language Models (LLM) for AI driven applications and contribute to devise new opportunities from the various data streams. • Design, build and optimize Machine Learning (ML) and Large Language Models (LLM) for various AI driven applications. • Collaborate with cross functional teams on the development and implementation of end-to-end ML/LLM based applications, integrating them seamlessly into existing platforms and workflows. • Evaluate model performance metrics and adjust models to optimize their effectiveness • Maintain documentation of code, models, and processes. • Provide expertise and guidance on ML and LLM capabilities and potential applications to stakeholders.

Qualifications for the role

• Bachelor’s or Master’s degree in Data Science, Applied Mathematics, Artificial Intelligence, or a related technical field.
• 3 – 5 years of experience in building, deploying, and maintaining ML models in a production environment
• Demonstrated experience in training, fine-tuning, and deploying LLMs in a production environment
• Good knowledge of reliability models, statistical methods and prognostics
• Experience with data management, API integration, and cloud services (like Azure, AWS, or Google Cloud, particularly their AI and machine learning stacks) is preferrable
• Knowledge of Python, databases and main machine learning concepts, and libraries such as sklearn, pytorch/tensorflow.
• Understanding of Agile principles and associated practices
• Fluency in English

More about us

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. #MyABBStory