Senior Staff AI Engineer

Ams Osram; Bayan Lepas; On-site; MYR 120,000 - 180,000; Full time

Job summary

AMS Osram in Malaysia seeks an experienced AI/ML leader to drive Generative AI solutions across enterprise functions. You will design, implement and govern LLM-based applications, collaborating with IT, data engineering, and product teams to scale AI across the organization.

The role emphasizes CRISP-DM aligned model development, scalable data pipelines, and responsible AI practices, with hands-on work on RAG, knowledge graphs, and cloud AI services to deliver enterprise-grade AI capabilities.

Qualifications

• Master's degree required in a relevant field.
• 7+ years of experience implementing ML solutions using Python, R, or similar.
• Strong expertise in Generative AI and LLMs, prompt engineering, model evaluation, and responsible AI.
• 7+ years hands-on experience in Data Science, Machine Learning, LLMs and AI.
• Deep understanding of retrieval-augmented generation (RAG) architectures.

Responsibilities

• Lead Generative AI Solutions, building AI-powered applications, agents, and Copilot experiences.
• Design, train, and optimize ML models for various domains including SCM, Manufacturing, Product Management and Corporate Functions.
• Design robust data pipelines and collaborate with data engineers to optimize data infrastructure for ML processing.

Skills

Generative AI

LLMs

Prompt engineering

Tool calling

RAG

GraphRAG

Knowledge Graphs

Graph databases

Neo4j

Azure OpenAI

MLOps

LLMOps

Cloud services

Data pipelines

Agile/SAFe/Scrum

Stakeholder management

Communication

Cross-functional collaboration

Python

R

Data science

Education

Master's degree in Computer Science

Tools

Azure OpenAI

Azure AI Foundry

Azure AI Search

Neo4j

Graph databases

Python

Job description

Central Functions support the board as well as the business in achieving its strategic objectives. These are, for example, Information Technology, Human Resources, Logistics, Compliance, Finance and many more.

Generative AI Solutions:

• Build AI-powered applications, AI agents, and Copilot experiences using Large Language Models (LLMs) and modern AI technologies.
• Design and optimize LLM-based solutions, including prompt engineering, tool/function calling, Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows.
• Model complex business relationships, enhance contextual understanding, and improve AI reasoning capabilities
• Evaluate, fine-tune, and improve AI systems through structured testing, quality measurement, safety guardrails, and hallucination reduction techniques.

Machine Learning Models:

• Design and implementation of machine learning models in different domains (e.g. SCM, Manufacturing, Product Management and Corporate Functions) following the CRISP- DM process.
• Train, fine-tune, and optimize deep learning models for various applications.
• Work with large-scale datasets to preprocess, clean, and transform data for model training.

Data Pipelines & ML Model Deployment:

• Design and build robust data pipelines for AI applications.
• Collaborate with data engineers to optimize data infrastructure and storage for efficient ML processing.
• Deploy and monitor models in production environments.

Project Management:

• Proven experience in leading cross-functional projects in international environments, applying Agile, SAFe, Scrum, Waterfall, or hybrid delivery methodologies.
• Strong project management capabilities, including planning, execution, resource allocation, budget management, milestone tracking, and delivery of project objectives.
• Excellent stakeholder management, communication, risk management, and problem-solving skills, with the ability to drive decisions and successfully manage project dependencies.

Communication & Collaboration:

• Analytics Storytelling of results to business stakeholder.
• Collaborate with business stakeholders, architects, data engineers, and software developers to transform business challenges into scalable AI solutions.

Stay updated:

• Stay updated with the latest trends and advancements in data science and AI.

• Master's degree in Computer Science, Math, Statistics, Data Science, Artificial Intelligence or a related field.
• Over 7 years of experience in implementing machine learning solutions using Python, R, or similar languages, with extensive knowledge of various ML algorithms.
• Strong expertise in Generative AI, including Large Language Models (LLMs), Knowledge Graphs, AI Agents, prompt engineering, model evaluation, and responsible AI.
• 7+ years of hands‑on experience in Data Science, Machine Learning, LLMs and AI.
• Deep understanding of Retrieval-Augmented Generation (RAG) architectures, including embeddings, vector databases, semantic search, and retrieval optimization techniques.
• Knowledge of Knowledge Graphs, semantic data models, ontologies, graph databases (e.g., Neo4j), and their application in enterprise AI solutions.
• Experience with GraphRAG and hybrid retrieval approaches combining vector search and knowledge graphs to improve AI accuracy, explainability, and contextual understanding.
• Hands‑on experience with cloud-based AI services such as Azure OpenAI, Azure AI Foundry, Azure AI Search, or comparable platforms.
• Knowledge of MLOps and LLMOps, including model deployment, monitoring, evaluation, version control, testing, and governance.
• Excellent communication and stakeholder management skills.
• Strong interpersonal and collaborative skills.