Business Information:

"The Hitachi Energy Indian Operations Center (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, project Management, functional system testing, installation supervision, documentation and commissioning."

Your Responsibilities:

• Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance - Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques -
• Work with developers to integrate front end with backend,
• Strong coding ability in Python, R programming.
• Should know about crunching billions of datapoints for statistical modeling, data mining for insights and recommendation solutions.
• The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of contributing and delivering impactful AI-driven solutions.
• Developing applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, and natural language processing.
• Your typical day will involve working with NLP, developing and deploying AI models, and collaborating with cross-functional teams.
• Living Hitachi Energy's core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business

• Have a bachelor's degree in computer science / IT or Mechanical / Electrical Engineering.
• Strong coding ability in Python, R programming.
• Experience of 2 - 4 years, supporting development AI / ML projects.
• Have a solution-oriented mindset.
• Develop strong relationships with both your customers and colleagues, locally and globally.
• Communicate easily in English
• Ensure that you always keep to our safety standards on top priority.
• Never compromise with quality at same time make sure you are on-time.

• Eager to learn and have liking to work long term in a global technology leader company