Senior AI Engineer — Scalable LLMs & AI Solutions

Hitachi eBworx; Selangor; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Bonuses

Training programs

Career growth

Job summary

Hitachi eBworx is seeking an experienced AI Engineer to design scalable AI/ML systems for financial and enterprise applications. You will work with LLMs, fine-tune models, and develop Agentic AI solutions in production environments.

In this role, you will collaborate with cross‑functional teams, optimize training pipelines, and leverage open‑source models and cloud infrastructure to deliver robust AI capabilities at scale.

Qualifications

• Experience with LLM fine-tuning and training (e.g., Hugging Face, Claude API).
• Strong understanding of Transformer models and NLP architectures.
• Expertise in reinforcement learning and self-supervised learning.
• Hands-on experience with RLHF (Reinforcement Learning from Human Feedback).

Responsibilities

• Design and develop scalable AI/ML models and pipelines for a variety of applications.
• Fine-tune large language models using supervised learning and alignment techniques such as DPO, ORPO and RLHF.
• Train and evaluate embedding models to improve downstream task performance.
• Integrate structured and unstructured data sources to enhance AI-driven decision-making.
• Improve model accuracy, contextual coherence, and response quality in generative AI outputs.
• Develop and optimize training, evaluation, and deployment pipelines for production environments.
• Leverage and fine-tune open-source AI models for specific use cases.
• Collaborate with cross-functional teams to deploy models at scale in real-world systems.

Skills

LLM fine-tuning

Transformer models

Reinforcement learning

Python

PyTorch or JAX

APIs for AI systems

Tools

Hugging Face

LangGraph

Docker

Kubernetes

OpenAI API

Job description

Hitachi eBworx is seeking an experienced AI Engineer to design scalable AI/ML systems for financial and enterprise applications. You will work with LLMs, fine-tune models, and develop Agentic AI solutions in production environments.

In this role, you will collaborate with cross‑functional teams, optimize training pipelines, and leverage open‑source models and cloud infrastructure to deliver robust AI capabilities at scale.