Data Scientist / AI & ML Engineer

JobCubby; Hinoba-an; On-site; PHP 995,000 - 1,393,000; Full time

Job summary

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

You will work at the intersection of research and engineering to build production-ready systems, rapid prototypes, and innovative AI models. The role focuses on deploying ML models, building data pipelines, and enabling multi-agent AI solutions in a fast-paced environment with cloud/on-prem setups.

Qualifications

• Strong hands-on experience in machine learning, statistical analysis, and data modeling.
• Big data technologies experience (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 relational and NoSQL databases (MySQL, PostgreSQL, 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).
• 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 prompt engineering, RAG, 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 loops).
• Collaborate with cross-functional teams to translate 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 latest AI/ML, data engineering, and fintech trends.
• Contribute to PoCs and innovation-driven projects.

Skills

Machine learning

Data modeling

Statistical analysis

Python

Java

Scala

Shell scripting

Cloud platforms

Distributed systems

Agile

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

Hadoop

Spark

Kafka

Flume

MySQL

PostgreSQL

MongoDB

Jenkins

Docker

Kubernetes

Tableau

Power BI

Job description

Location: Bengaluru, Karnataka, India

Job ID: R0141396

Date Posted: 2026-08-14

Company Name: HITACHI INDIA PVT. LTD

Profession (Job Category): Engineering & Science

Job Schedule: Full time

Remote: No

Job Description

Job Title: Data Scientist / AI & ML Engineer

Designation: Researcher / Senior Research Engineer

Company: Hitachi India Pvt Ltd.

Type of Employment: Fixed Term Contract

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

Experience: 5+ years of relevant experience

Education: Bachelor’s degree in computer science or related field.

Hitachi Values

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. We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:

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