About this role
About our group:
We are a team of Information Technology professionals at Seagate responsible for creating and implementing data-driven solutions that support business decisions and factory operations. We apply Artificial Intelligence, Machine Learning, and Generative AI to enable real-time analysis, predictive insights, intelligent automation, and optimized production processes. Working closely with business and engineering teams, we harness Industry 4.0 capabilities including real-time control, IoT, Big Data and Analytics, automation, and AI to advance smart factory initiatives and maximize operational excellence.
About the role - you will:
- Develop machine learning and Generative AI solutions to automate factory and business processes.
- Design, develop, and deploy AI agents capable of reasoning, planning, and executing multi-step workflows.
- Build Retrieval-Augmented Generation (RAG) applications using enterprise data, document repositories, and vector databases.
- Create prompt workflows, prompt templates, and evaluation frameworks for Large Language Models (LLMs).
- Undertake data collection, preprocessing, feature engineering, and analysis of structured and unstructured data.
- Develop AI-native applications that integrate LLMs, APIs, enterprise systems, and factory data sources.
- Analyze large amounts of information to discover trends, insights, and optimization opportunities.
- Build predictive models, intelligent recommendation systems, and autonomous monitoring solutions.
- Evaluate GenAI solutions for accuracy, relevance, hallucination risk, safety, and business impact.
- Present findings and recommendations using modern data visualization and AI storytelling techniques.
About you:
- Currently pursuing a degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, or a related discipline.
- Passionate about Artificial Intelligence, Machine Learning, Generative AI, and intelligent automation.
- Curious and adaptable, with a strong desire to learn emerging AI technologies and frameworks.
- Interested in building AI products rather than only training traditional machine learning models.
- Strong analytical and problem-solving mindset.
- Comfortable working with ambiguity, experimentation, and rapid prototyping.
- Able to communicate technical concepts to both technical and non-technical audiences.
- Familiar with Generative AI concepts including Large Language Models, prompt engineering, AI agents, RAG, vector databases, model evaluation, and Responsible AI.
Your experience includes:
- Knowledge of machine learning algorithms, deep learning, and Generative AI concepts.
- Experience with Python, SQL, and software development practices.
- Familiarity with APIs, JSON, and modern application architectures.
- Exposure to Generative AI platforms or frameworks such as OpenAI, Azure OpenAI, LangChain.
- Understanding of prompt engineering, function or tool calling, AI agent design patterns, RAG, vector search and embeddings, and LLM evaluation techniques.
- Experience developing AI assistants, chatbots, copilots, or intelligent workflow automation solutions through projects, research, hackathons, or coursework.
- Exposure to data engineering concepts including data pipelines, ETL, and knowledge management.
- Experience developing, fine-tuning, or deploying GenAI solutions using open-source or cloud-based AI platforms.
Location:
Our Penang office is located in Suntech at Cybercity, easily accessible via public transportation. Enjoy amenities such as an on-site gym, ping-pong and badminton facilities, and a café serving breakfast, lunch, and coffee. Prefer dining out? A public food court across the street offers a variety of delicious options.
Location : Penang Malaysia Suntech
Travel : None