GenAI Intern, AI/ML
At a glance
Junior AI Engineering role at Seagate. Bayan Baru.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine learning and generative AI tools that automate work in factories and business operations
- Create AI agents that plan and carry out multi-step tasks, plus RAG applications grounded in company data
- Prepare structured and unstructured data, then use it to develop predictive models and recommendations
- Test generative AI outputs for accuracy, relevance, safety and hallucination risk, and share findings visually
What you bring
- You are pursuing a degree in computer science, software engineering, AI or data science, or a related subject
- You have Python and SQL experience, along with knowledge of machine learning and generative AI
- You understand APIs, JSON, prompt design, RAG and AI agent patterns
- You have built an AI assistant, chatbot, copilot or automated workflow through a project, research or coursework
Who this fits
This junior internship suits someone who wants to build AI products and is comfortable experimenting, learning new technologies and explaining technical ideas to different audiences. The role is based at the Penang office in Bayan Baru, Malaysia, and travel is not required.
From the employer
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