Data Scientist / AI & ML Engineer

Job Title: Data Scientist / AI & ML Engineer

Designation : Researcher / Senior Research Engineer

Company: Hitachi India Pvt Ltd.

Location: Bengaluru, Karnataka, India

Salary: As per Industry

Company Overview:

Hitachi India Pvt. Ltd. (HIL) markets and sells a wide range of products/services ranging from Information & Telecommunications Systems, Digital Solutions & Services, Infrastructure Systems, Industrial Systems like Water, Oil & Gas supply and management to Transportation and Urban Development Systems. Together with further localization, Hitachi aims to contribute to developing a sustainable society in India as well as contributing to the country's economic growth.

We are looking for a highly motivated Data Scientist / AI & ML Engineer to design, develop, and deploy scalable AI-driven solutions for real-world digital services challenges. The role involves working at the intersection of research and engineering to build production-ready systems, rapid prototypes, and innovative AI models.

Job Roles & Responsibilities:

Design and develop AI/ML solutions to address customer and business problems.

Build, train, and deploy machine learning and deep learning models across use cases.

Build and deploy LLM-powered applications using techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning.

Develop scalable data architectures for large-scale data processing and analytics

Set up and manage big data environments for rapid prototyping (on-premises and cloud)

Design and develop agentic AI systems (multi-agent workflows, tool-using agents, autonomous decision loops)

Collaborate with cross-functional teams to translate business requirements into technical solutions

Build and maintain robust data pipelines using modern data engineering tools

Optimize performance, reliability, and scalability of data and ML systems

Enable seamless data access for researchers across programming environments

Stay updated with the latest advancements in AI/ML, data engineering, and financial technologies

Contribute to research initiatives, PoCs, and innovation-driven projects

Required Skills:

Strong hands-on experience in machine learning, statistical analysis, and data modeling

Solid experience with big data technologies (Hadoop ecosystem, Spark, etc.)

Proficiency in Python, R, or Shell scripting

Experience with cloud platforms: AWS / Azure / Google Cloud

Strong programming skills in Java and/or Scala

Experience with RDBMS (MySQL, PostgreSQL) and NoSQL databases (MongoDB, etc.)

Experience building data pipelines using tools like Kafka, Flume, Spark

Familiarity with DevOps tools (Jenkins, CI/CD pipelines, containerization)

Experience in distributed systems and large-scale application development

Knowledge of data visualization/BI tools (Tableau, Power BI, etc.)

Strong problem-solving, communication, and stakeholder management skills

Experience working in Agile environments