AI/Machine Learning Engineer (12 months contract)

FUJIFILM Business Innovation; Selangor; On-site; MYR 180,000 - 240,000; Full time

Job summary

Jora Malaysia is seeking an experienced AI/ML Platform Engineer to design, develop, test, and deploy production-grade AI/ML models that drive business outcomes. You will build AI services and APIs, and implement Generative AI solutions using enterprise platforms.

You will own end-to-end data pipelines, MLOps, data integration, and observability, ensuring security and governance. Collaboration across Data Scientists, solution architects, application teams, and platform engineers is essential to

Qualifications

• Minimum 8 years of experience in software engineering, AI engineering, or related disciplines.
• Bachelor’s degree in CS/AI/DS/SE/IT or related discipline.
• Experience developing production-grade AI/ML solutions with cloud-native platforms and enterprise deployment.

Responsibilities

• Design, develop, test, and deploy AI/ML models supporting business and operational outcomes.
• Build and maintain AI services, APIs, and microservices for enterprise use.
• Develop Generative AI and Agentic AI solutions using approved enterprise platforms.
• Implement retrieval augmented generation (RAG) architectures and knowledge retrieval solutions.
• Develop prompt engineering, evaluation, and optimization approaches for AI systems.
• Develop model deployment pipelines and lifecycle processes; automate testing and monitoring.
• Support production deployment of models aligned to enterprise standards.
• Collaborate with business stakeholders, data scientists, solution architects, and platform engineers.
• Participate in AI use case discovery, design workshops, and implementation planning.
• Support knowledge sharing and AI capability development across regional subsidiaries.

Skills

Python

API development

LLM frameworks

LangChain

LangGraph

Semantic Kernel

AutoGen

Vector databases

MLOps

Cloud services

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology

Tools

Docker

Kubernetes

AWS

Azure

GCP

LangChain

LangGraph

Semantic Kernel

AutoGen

SQL

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Design, develop, test, and deploy AI/ML models supporting business and operational outcomes.

Build and maintain AI services, APIs, and microservices for enterprise consumption.

Develop Generative AI and Agentic AI solutions using approved enterprise platforms and frameworks.

Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.

Develop prompt engineering, evaluation, and optimization approaches for AI systems.

2.AI Platform Engineering and MLOps

Develop and maintain AI model deployment pipelines and model lifecycle processes.

Build automated testing, deployment, monitoring, model versioning, and release management capabilities.

Support production deployment of models and AI services aligned to enterprise architecture standards.

3.Data Engineering and Integration

Design and develop data pipelines required for AI model training and inference.

Integrate AI solutions with enterprise applications, cloud platforms, APIs, databases, and data warehouses.

Support data preparation, feature engineering, and operationalization of AI models.

4.AI Operations, Monitoring, and Continuous Improvement

Monitor model performance, accuracy, reliability, cost, and operational stability.

Implement observability and monitoring frameworks for AI workloads.

Investigate production issues, perform root-cause analysis, and implement corrective actions.

Tune and optimize models and AI services for performance, quality, and usability.

5.Security, Governance, and Responsible AI

Ensure AI solutions align with enterprise AI governance, information security, privacy, and data protection requirements.

Apply responsible AI principles including fairness, transparency, explain ability, reliability, and human oversight.

Support AI risk assessments, security reviews, and compliance documentation.

6.Collaboration and Enablement

Work closely with business stakeholders, Data Scientists, solution architects, application teams, and platform engineers.

Participate in AI use case discovery, design workshops, technical reviews, and implementation planning.

Support knowledge sharing and AI capability development across regional subsidaries.

SKILLS & QUALIFICATIONS:

Minimum 8 years of experience in software engineering, AI engineering, machine learning engineering, or related disciplines.

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related discipline.

Experience developing production-grade AI/ML solutions, working with cloud-native platforms, and implementing machine learning models in enterprise environments.

Technical Skills

Python

Machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn

LLM and agent frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen

API development and microservices

Vector databases and RAG architectures

MLOps platforms, CI/CD, and model lifecycle management

SQL and data engineering

Cloud services across AWS, Azure, or GCP

Container technologies such as Docker and Kubernetes