Posted:
8/14/2026, 12:46:45 AM
Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
On-site
Pay:
$131k–$178k/yr
Location:
Bengaluru, Karnataka, IndiaJob ID:
R0141396Date Posted:
2026-08-14Company Name:
HITACHI INDIA PVT. LTDProfession (Job Category):
Engineering & ScienceJob Schedule:
Full timeRemote:
NoJob Description:
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
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
Website: https://hitachi.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1959
IPO Status: Private
Industries: Consulting ⋅ Industrial Engineering ⋅ Information Technology ⋅ Machinery Manufacturing ⋅ Manufacturing ⋅ Mining Technology
Visa Sponsorship: Sponsors work visas