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Machine Learning Engineer
2 months ago
We are seeking a highly skilled Machine Learning Engineer to join our team at ABB. As a key member of our R&D team, you will be responsible for developing and deploying predictive analytics solutions to drive business growth and improve operational efficiency.
Key Responsibilities- Design, build, and optimize Machine Learning (ML) models for various AI-driven applications, including predictive maintenance, asset management, and user account management.
- Collaborate with cross-functional teams to develop and implement end-to-end ML-based applications, integrating them seamlessly into existing platforms and workflows.
- Evaluate model performance metrics and adjust models to optimize their effectiveness.
- Provide expertise and guidance on ML capabilities and potential applications to stakeholders.
- Maintain documentation of code, models, and processes.
- 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 Large Language Models (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 preferable.
- Knowledge of Python, databases, and main machine learning concepts, and libraries such as scikit-learn, PyTorch/TensorFlow.
- Understanding of Agile principles and associated practices.
- Fluency in English.
