AI Engineer

Hitachi eBworx Sdn. Bhd.; Petaling Jaya; Vor Ort; MYR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Bonuses

Career growth programs

Training opportunities

Zusammenfassung

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

Qualifikationen

• 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).

Aufgaben

• 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.

Kenntnisse

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

Jobbeschreibung

We are seeking an experienced AI Engineer to design and optimize AI/ML systems, leveraging cutting-edge artificial intelligence and machine learning techniques. In this role, you will work with large language models (LLMs), fine-tune AI systems, and develop scalable Agentic AI solutions for financial and enterprise applications.
This is an exciting opportunity to be at the forefront of AI innovation, working with the latest advancements in natural language processing, reinforcement learning, and scalable AI infrastructure.

What Awaits You:

Latest Tools & Tech – Work with cutting-edge technologies to stay ahead.

Career Growth – Access training programs for upskilling or reskilling to build your portfolio.

Great Pay & Perks – Competitive salary and bonuses to reward your expertise and contributions.

What You'll Do:

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.

What We Need From You:

Core AI & ML Skills

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).

Programming & Frameworks

Proficiency in Python, and experience with PyTorch, or JAX.

Familiarity with LLM in stateful agentic workflows and multi-agent orchestration.

Familiarity with Agent SDKs (LangGraph), MCP and A2A protocols.

Strong skills in working with APIs for AI system integration (e.g., OpenAI, Anthropic, Hugging Face).

Experience with SQL, NoSQL and Vector-based databases for data handling.

Familiarity with distributed computing and scalable ML model training.

Solid understanding of ETL pipelines for processing large-scale datasets.

Experience deploying AI models in cloud environments (AWS, Azure, GCP).

Knowledge of containerization (Docker, Kubernetes) and MLOps practices.

Hitachi eBworx is a leading international consulting and technology solutions firm delivering innovative and high-performance solutions to bank in the region. Hitachi eBworx is a subsidiary of Hitachi, Ltd., a Fortune Global 500 Company. We are now embarking on a three year growth plan targeting solutions, services and geographical expansion. To achieve this plan, we are looking to expand our management and delivery bandwidths, and increase our talent pool.