Senior Staff AI Engineer
At a glance
Senior AI Engineering role at ams OSRAM. Bayan Lepas.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI applications, agents and Copilot experiences, then shape their prompts, retrieval and tool use
- Test and tune AI systems for quality, safety and fewer hallucinations, including LLM and machine learning models
- Prepare large datasets and create the pipelines needed to train, deploy and monitor models
- Lead cross-functional AI projects, managing plans, budgets, risks, resources and delivery
- Turn business challenges into scalable AI solutions and explain analytical results to stakeholders
What you bring
- A relevant master's degree, such as in computer science, statistics or another listed field
- More than seven years implementing machine learning solutions with Python, R or a comparable language
- At least seven years of hands-on work across data science, machine learning and AI, including LLMs
- Strong generative AI expertise, including RAG, knowledge graphs, AI agents, evaluation and responsible AI
Who this fits
This senior role suits someone who can combine hands-on AI engineering with project leadership and clear communication with business stakeholders. The position is based in Bayan Lepas, Malaysia.
From the employer
Sense the power of light
The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends. Find out more about us on https://ams-osram.com
Your new responsibilities
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.
What we look for
- 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.
Please contact Ronald Heon Lon Yip for further information via RONALD.YIP@AMS-OSRAM.COM or +60 (4) 3053363.