# Data Scientist / AI & ML EngineerHitachi EnergyPosted on October 11, 2026---Experience5 - 7 yrsJob LocationBengaluru / Bangalore, IndiaVacancy16DesignationUnmapped Designation (Legacy Sentinel)Job TypeONSITE---## 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 SummaryWe 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. This position requires strong hands-on experience in **machine learning**, **statistical analysis**, and **data modeling**, along with proficiency in **big data technologies** (Hadoop, Spark) and programming languages like **Python**. Experience with **cloud platforms** (AWS, Azure, Google Cloud) and building robust **data pipelines** (Kafka, Spark) is also essential.## About the Role**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 OverviewHitachi 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.## Key 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.## Requirements### 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 ValuesWe 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