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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

Your background:

• 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