ML Engineer Intern: Build AI Pipelines & Prompts

GrowthOps Asia; Kuala Lumpur; Presencial; MYR 28 000 - 39 000; Tempo integral

Resumo da oferta

AppliedAI in Malaysia is seeking an Opus ML Engineer Intern to support the development and improvement of our AI infrastructure under the guidance of senior engineers.

You'll gain hands‑on experience building and maintaining inference pipelines, workflow orchestration, prompt design, and agentic integrations powering Opus’s AI features.

This role is ideal for recent graduates or final‑year students eager to apply academic knowledge to real‑world AI systems and grow into a full ML engineering role.

Qualificações

• Recently completed (or completing) a degree in Math, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field.
• Solid understanding of Python and general software engineering principles.
• Familiarity with machine learning concepts and frameworks (e.g. PyTorch, TensorFlow, scikit‑learn, or HuggingFace).
• Interest or coursework in LLMs, NLP, prompt engineering, or generative AI.
• Basic understanding of APIs, version control (Git), and command‑line tools.
• Exposure to cloud platforms (AWS, GCP, or Azure) or containerization (Docker, Kubernetes) is a plus.
• Strong willingness to learn, take feedback, and work in a fast‑paced environment.

Responsabilidades

• Assist in designing, developing and maintaining AI inference and orchestration pipelines used in production.
• Support model‑serving optimization efforts around performance, latency, and reliability.
• Help implement observability, logging, and monitoring for AI components.
• Contribute to prompt engineering and alignment experiments to improve response quality and consistency.
• Write clean, well‑documented code and assist in refactoring existing codebases for modularity and clarity.
• Collaborate with senior engineers and product teams to deliver stable, user‑facing AI features.
• Participate in code reviews, testing, and documentation efforts.

Conhecimentos

Python

ML concepts

LLMs/NLP

APIs

Git

Cloud platforms

Formação académica

Bachelor’s or higher in Math, CS, ML, Data Science, SE

Ferramentas

PyTorch

TensorFlow

scikit-learn

HuggingFace

Docker

Kubernetes

Descrição da oferta de emprego

AppliedAI in Malaysia is seeking an Opus ML Engineer Intern to support the development and improvement of our AI infrastructure under the guidance of senior engineers.

You'll gain hands‑on experience building and maintaining inference pipelines, workflow orchestration, prompt design, and agentic integrations powering Opus’s AI features.

This role is ideal for recent graduates or final‑year students eager to apply academic knowledge to real‑world AI systems and grow into a full ML engineering role.