Senior AI Engineer: LLM Fine-Tuning & Scalable AI

Hitachi eBworx Sdn. Bhd.

Petaling Jaya

On-site

MYR 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Bonuses
Career growth programs
Training opportunities

Job summary

Hitachi eBworx Sdn. Bhd. seeks an experienced AI Engineer to design and optimize AI/ML systems, focusing on LLM fine-tuning, alignment, and scalable AI infrastructure for financial and enterprise apps.

You will collaborate with cross-functional teams to deploy models at scale in real-world systems, leveraging cutting-edge NLP and RL techniques. The role emphasizes hands-on model training, data integration, and deploying production-grade pipelines in cloud environments using Docker/Kubernetes and

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 (Direct Preference Optimization), ORPO (Odds Ratio Preference Optimization) and RLHF (Reinforcement Learning from Human Feedback).
  • 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 NLP
Reinforcement learning
Python
PyTorch / JAX
APIs for AI systems
SQL / NoSQL databases
Cloud deployment
MLOps / Docker Kubernetes
LangGraph
MCP protocol
A2A protocols

Tools

Hugging Face
Claude API
OpenAI API
Hugging Face Transformers
Docker
Kubernetes

Job description

Hitachi eBworx Sdn. Bhd. seeks an experienced AI Engineer to design and optimize AI/ML systems, focusing on LLM fine-tuning, alignment, and scalable AI infrastructure for financial and enterprise apps.

You will collaborate with cross-functional teams to deploy models at scale in real-world systems, leveraging cutting-edge NLP and RL techniques. The role emphasizes hands-on model training, data integration, and deploying production-grade pipelines in cloud environments using Docker/Kubernetes and

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