R&D Engineer for Applied AI/ML @ Hitachi Energy

R&D Engineer for Applied AI/ML @ Hitachi Energy

Polsko

Your background

• Masters degree or equivalent industrial experience in Engineering, Sciences, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Computer Science or any related field. 
• Experience in applying data science and AI/ML methods to solve practical problems preferably in Azure environments or similar (e.g., Azure Machine Learning, Databricks/PySpark, AKS, Azure DevOps). 
• Experience with training and deploying and managing the lifecycle of Machine Learning algorithms in practical settings (e.g., containerization, CI/CD pipelines, monitoring, and model tracking/versioning). 
• Experience with API integration. 
• Good knowledge of Data Science Programming Languages (Python and associated data science libraries). 
• Willingness to take an interdisciplinary approach, working with experts from different domains, and integrating AI/ML approaches into processes. 
• Experience demonstrating your ability to work in a team, your creativity, and your motivation for self-development. 
• Excellent written and spoken communication in English. 

The opportunity

We are looking for an R&D Engineer with expertise in Applied Artificial Intelligence and Machine Learning. You will join a skilled, enthusiastic, and innovative global team to create digital technologies to further enhance the delivery of HVDC solutions. In your work, you will combine theory with practice, creating and validating new technologies that can have a meaningful impact on the energy transition.

Our R&D engineers, developers, and scientists develop breakthrough technologies that change the way the world works, and how industries do business. We constantly push the limits of convention, while retaining our focus on delivering quality products and solutions to our customers.

At Hitachi Energy our purpose is advancing a sustainable energy future for all. We bring power to our homes, schools, hospitals, and factories.  Join us and work with fantastic people, while learning and developing yourself on projects that have a real impact to our communities and society. Bring your passion, bring your energy, and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation

High-Voltage Direct Current (HVDC) is a key enabler for a carbon-neutral energy system. For over 70 years, Hitachi Energy has delivered numerous technical innovations and delivered many projects. Today and in the future, solutions like HVDC, play an essential role in integrating renewable energy, decarbonizing power systems, and enhancing grid resilience and flexibility.

Join us at Hitachi Energy HVDC Research and Development if you have a passion for research and wish to contribute to the development and delivery of technologies with real purpose. Through your research projects, you will have the opportunity to learn from and contribute to a global multidisciplinary team with a broad range of experiences, both in technology and business processes.

How you’ll make an impact   

• Design, containerize, and deploy data science models and pipelines for automation and/or optimization applications. 
• Propose and work on ideas and concepts of new approaches to solving optimization or control problems with business impact, turn them into prototypes and verify them before handover for implementation. 
• Collaborate with a global team of researchers and engineers, both within the Hitachi Energy HVDC Research and Development department, and with other teams across the Hitachi Energy organization to identify and solve real-world challenges. 
• Maintain an up-to-date knowledge of state-of-the-art data science, machine learning and artificial intelligence technologies. 
• Share your knowledge and experience with other team members. 

,[] Requirements: Machine learning, Research and development, Data science, Prototypes, Degree, AI, Azure, Databricks, PySpark, AKS, DevOps, CI/CD Pipelines, API, Python, .NET Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Small teams, Free coffee, Bike parking, Playroom, Shower, Mobile phone, In-house trainings, Modern office.

Kategorie

artificialIntelligence

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