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Engenious
As an AI/ML Engineer, you will take a key role in leading the development of innovative AI, Machine Learning, and cognitive services solutions. Your role involves creating and implementing applications that leverage image processing, NLP, computer vision, statistical analysis, signal processing, predictive modeling, and problem-solving techniques. You'll work closely with both business and technical teams to explore how technology can address challenges associated with Industry 4.0 and process automation.
As an AI/ML Engineer, you will take a key role in leading the development of innovative AI, Machine Learning, and cognitive services solutions. Your role involves creating and implementing applications that leverage image processing, NLP, computer vision, statistical analysis, signal processing, predictive modeling, and problem-solving techniques. You'll work closely with both business and technical teams to explore how technology can address challenges associated with Industry 4.0 and process automation.
,[Design and develop solutions utilizing image processing, NLP, computer vision, statistical methods, signal processing, predictive analytics, and problem-solving techniques. , Contribute to architectural decisions regarding the choice of frameworks, platforms, and tech stacks for solutions. , Engage in technical discussions with business and technical teams to determine how technology can address specific problems. , Create proof-of-concept (PoC) software to test the applicability of technologies for particular issues. , Collaborate in developing both business and technical concepts, including PoC and technical analysis. , Stay updated on the latest IT technologies and practices, and integrate new knowledge into the IT Innovation Accelerator team and Hitachi Energy's IT strategy. ] Вимоги: AI, Computer vision, Data analytics, TensorFlow, PyTorch, Python, C#, Machine Learning, Java, Azure Databricks, Communication skills, Azure Бонуси та переваги: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects.