🇻🇳 Senior GenAI Full time

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.

- 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.

- 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 4 years of hands-on experience working with natural language processing (NLP) techniques and large language models (LLMs).
- 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.
- Expertise in TensorFlow, PyTorch, and Hugging Face.
- Experience with tools like OpenAI API, Keras, or Scikit-learn.
- Understanding of architectures like GPT, BERT, and Vision Transformers (ViT).
- Expertise in training and tuning diffusion models, such as DALL·E or Stable Diffusion.

TBD