Agensi Pekerjaan Career Horizons Hiring! Full Time Machine Learning - Applied AI Engineer (Fresh Graduates Welcome) | Johor Bahru in Johor, Earn up to MYR 6,000 - Ricebowl

Role Overview

We are looking for a versatile Applied AI Engineer to drive end-to-end computer vision initiatives across transit, mobility, and enterprise applications. This is a high-impact individual contributor role where you will work across the full AI development lifecycle — from integrating multimodal LLM APIs for rapid prototyping, to training and deploying optimized AI models on edge hardware, as well as building frontend and backend systems that bring these capabilities into production.

You will be involved in projects related to:

• ANPR (Automatic Number Plate Recognition)
• Vehicle damage detection
• Document intelligence (eKYC, OCR)
• Product quality inspection
• Real-time vision systems

Fresh graduates with strong AI/computer vision projects, internships, or portfolios are encouraged to apply.

Key Responsibilities:

1. Multimodal LLM Integration & Prompt Engineering

• Integrate and evaluate vision-capable LLM APIs such as OpenAI GPT-4o and Google Gemini Vertex for production vision tasks.
• Design and optimize prompts to improve accuracy while minimizing token costs across use cases such as license plate recognition, document extraction, and visual quality control.
• Benchmark commercial LLM solutions based on cost, latency, and accuracy to support build-vs-buy decisions.

2. Custom Model Development & Edge Optimization

• Design and train task-specific AI models such as YOLO, OCR, and classification models as datasets mature.
• Manage the full machine learning lifecycle, including:
• Data labeling strategies
• Training pipelines
• Model versioning
• Production monitoring (MLOps)
• Optimize and deploy AI models on edge devices.

3. Agentic Full-Stack Development

• Build frontend and backend systems to expose AI vision capabilities to end users and business stakeholders.
• Develop agentic workflows to automate multi-step AI processes (e.g. capture → inference → validation → action).
• Deploy and maintain production-grade systems using modern frameworks and cloud infrastructure such as AWS and Docker.

4. Edge Device & Camera Hardware Integration

• Configure and maintain edge devices connected to camera hardware and streaming pipelines.
• Collaborate on camera sensor selection, lighting setup, and troubleshooting of real-world image capture conditions.
• Ensure system reliability and performance in field environments.

Requirements Technical Skills:

• Strong Python programming skills.
• Experience integrating LLM APIs such as OpenAI, Gemini Vertex, or equivalent multimodal APIs.
• Hands-on experience with computer vision libraries such as OpenCV.
• Familiarity with prompt engineering techniques for vision-based AI tasks.
• Experience with Docker and at least one cloud platform (AWS preferred).
• Ability to build basic web-based or API-driven interfaces using FastAPI or similar frameworks.

Soft Skills:

• Good communication and stakeholder management skills.
• Strong problem-solving mindset with the ability to work independently.

Edge & Deployment:

• Exposure to deploying AI models on edge hardware is an added advantage.

Nice to Have:

• Experience with OCR pipelines or document intelligence solutions (eKYC, structured image extraction).
• Exposure to synthetic data generation tools such as Stable Diffusion or GANs.
• Experience with RTSP streams, camera integration, or real-time video pipelines.

Education & Experience:

• Bachelor’s or Master’s Degree in Computer Science, Electrical/Electronic Engineering, or related fields.
• Candidates with hands-on AI/computer vision projects, internships, or portfolios are encouraged to apply.
• Fresh graduates are welcome to apply.

Pay: RM3,500.00 - RM6,000.00 per month

Work Location: In person