AI/ML Engineer

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.

Key Responsibilities:

• 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.

Your Qualifications:

• Proficiency in AI/ML domains such as computer vision, natural language processing, signal processing, and data analytics.
• Hands-on experience in training custom ML models using TensorFlow, PyTorch, or similar tools.
• Programming skills in Python (preferred), C#, or Java.
• Experience with Azure Databricks or Azure Machine Learning Studio is advantageous.
• Basic knowledge of data structures, data modeling, and software architecture.
• Strong communication skills to convey technical information clearly to both technical and non-technical stakeholders.
• Good analytical abilities to comprehend and gather requirements.
• Eagerness to learn and experiment with new tools.
• Familiarity with Microsoft Azure services is a plus.
• Proficiency in written and spoken English.