Data Scientist and Artificial Intelligence & Machine Learning Engineer

Hitachi India Pvt Ltd; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Hitachi India Pvt Ltd in Bengaluru, India, is looking for a Data Scientist / AI & ML Engineer to design, develop, and deploy scalable AI-driven solutions for real-world digital services challenges.

The role blends research and engineering to build production-ready systems, rapid prototypes, and innovative AI models, with collaboration across teams to translate business needs into technical solutions.

Qualifications

• Strong hands-on experience in machine learning, statistical analysis, and data modeling.
• Experience with big data technologies (Hadoop ecosystem, Spark).
• 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).
• Experience building data pipelines using 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).
• Strong problem-solving, communication, and stakeholder management skills.
• Experience working in Agile environments.

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

Skills

Machine learning

Statistical analysis

Data modeling

Python

R

Shell scripting

Distributed systems

Agile

Communication

Big data

Education

Bachelor’s degree in Computer Science or related field

Tools

Hadoop

Spark

Kafka

Flume

Jenkins

CI/CD pipelines

Containerization

Tableau

Power BI

MySQL

PostgreSQL

MongoDB

Job description

Data Scientist / AI & ML Engineer

Location: Bengaluru, Karnataka, India

Job Schedule: Full time

Remote: No

Job Overview

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.

Role Overview

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.

Preferred Skills

• Master’s degree in Computer Science or related field.
• Experience in Deep Learning and advanced AI techniques.
• Proven experience in building prototypes and production-grade PoCs.
• Exposure to financial services or fintech domain (preferred).
• Experience with MLOps frameworks and model lifecycle management.
• Experience designing multi-agent systems and autonomous workflows.
• Exposure to fine-tuning, RLHF, or model optimization techniques.
• Experience with evaluation frameworks for LLMs.

Education

Bachelor’s degree in computer science or related field.

Hitachi Values

• Wa - Harmony, Trust, Respect
• Makoto - Sincerity, Fairness, Honesty, Integrity
• Kaitakusha-Seishin - Pioneering Spirit, Challenge

Equal Opportunity Statement

We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn’t impact your ability to do the job, including race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Experience Level

Senior Level