Gen AI Engineer

Sorry, this job was removed at 10:12 p.m. (CST) on Friday, Feb 14, 2025
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Hà Nội
In-Office
Information Technology • Consulting
The Role

Our Company

We’re Hitachi Digital Services, a global digital solutions and transformation business. Our expertise, innovation and technology unlocks potential – we take theme park fans on magical rides, conserve natural resources, protect rainforests, and save lives. We automate, modernize, optimize, and accelerate. Our people are trusted transformers, with deep engineering expertise, focused on a sustainable future for all.

Imagine the sheer breadth of talent it takes to inspire the future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally important to us.

Meet our Team
Hitachi Digital Services Vietnam is part of a 300 strong global delivery network, supporting Hitachi Digital Services around the globe. Our employees collaborate with teams in Japan, India, Portugal, and the US, servicing customers worldwide and working on a huge variety of projects. From cloud migration to digital modernization and advanced analytics, offering operational excellence, agile delivery, and plenty of energy to work on huge transformation projects for our customers.

Key Responsibilities:

Design and optimize prompting strategies to enhance the output quality and relevance of large language models (LLMs).

Develop adaptive and context-aware prompts tailored to specific use cases, ensuring AI outputs meet user needs.

Build and maintain robust text processing pipelines, including tasks like tokenization, normalization, and data augmentation.

Implement and fine-tune RAG systems to improve the relevance and accuracy of AI-generated content by integrating external knowledge sources.

Fine-tune pre-trained LLMs on custom datasets, optimizing them for domain-specific tasks and improving their accuracy and effectiveness.

Deploy and manage local instances of LLMs, ensuring they are optimized for speed, resource efficiency, and data privacy.

Collaborate with cross-functional teams to integrate local LLMs into existing infrastructure and workflows, providing scalable AI solutions.

What you’ll bring

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degrees or specialized training in AI/ML are a plus.

At least 2 years of hands-on experience working with natural language processing (NLP) techniques and large language models (LLMs).

Skills:

Strong programming skills in languages such as Python or R.

Deep understanding of neural networks, particularly generative models.

Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing environments are a plus.

Ability to work with large datasets and experience with data manipulation tools.

Ability to collaborate and work in a cross-functional/multi-national team environment, work directly to client for analysis and collect requirements.

Knowledge of version control systems (e.g., Git) and collaborative tools.

About us
We’re a global team of innovators, together, we harness engineering excellence and passion for creating meaningful solutions to complex challenges. We turn organizations into industry leaders that can a make positive impact on their industries and society.
We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

#LI-HM1


Championing diversity, equity, and inclusion

Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.


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The Company
Hyderabad
1,644 Employees

What We Do

Hitachi Digital Services is an independent services business that focuses on delivering a unified operating model for cloud, data, IoT and managed services.

Playing a pivotal role in Hitachi's digital transformation strategy, Hitachi Digital Services places a strong emphasis on Generative AI to deliver an integrated end-to-end digital transformation for enterprises. The company is strategically positioned within the Hitachi Digital portfolio of companies to leverage the synergies between operational technology (OT), information technology (IT), and product and service offerings.

Such positioning allows Hitachi Digital Services to work closely with Hitachi Digital, the new Hitachi Vantara and Hitachi group businesses, including GlobalLogic, to create an integrated end-to-end digital transformation solution for enterprises

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