Agensi Pekerjaan JP Caliber Hiring! Full Time Artifical Intelligence (AI) Engineer in Federal Territory, Earn up to MYR 12,000 - Ricebowl

Artificial Intelligence (AI) Engineer

About the Role

A rapidly growing technology-driven organization specializing in autonomous systems, robotics, and advanced automation solutions is seeking a highly skilled Artificial Intelligence (AI) Engineer to join its expanding team. This role offers the opportunity to work on cutting-edge technologies, including autonomous vehicles, intelligent robotics platforms, and AI-powered solutions designed to solve complex industry challenges and improve operational efficiency.

The successful candidate will be responsible for designing, developing, and implementing AI-driven solutions with a focus on machine learning, computer vision, predictive analytics, and autonomous decision-making systems.

Key Responsibilities

AI Solution Development

• Design, develop, train, and deploy machine learning and deep learning models for autonomous systems.
• Implement advanced AI techniques, including reinforcement learning, predictive analytics, and neural networks.

System Optimization

• Enhance AI-powered capabilities such as navigation, object detection, object recognition, decision-making, and autonomous operations.
• Continuously improve model accuracy, efficiency, and performance in real-world applications.

Robotics & System Integration

• Collaborate closely with robotics, embedded software, and hardware engineering teams to integrate AI models into autonomous platforms and intelligent systems.
• Ensure seamless interaction between AI components and robotic infrastructure.

Data Processing & Analysis

• Collect, preprocess, manage, and analyze large datasets to support model development and optimization.
• Develop data pipelines and workflows to improve AI model training and deployment.

Research & Innovation

• Keep abreast of the latest advancements in artificial intelligence, machine learning, computer vision, and robotics technologies.
• Evaluate and implement emerging tools, frameworks, and methodologies to drive innovation.

Testing & Validation

• Conduct testing and validation of AI models in both simulation and real-world environments.
• Ensure reliability, scalability, accuracy, and robustness of deployed solutions.

Documentation

• Produce and maintain comprehensive technical documentation, including model architectures, algorithms, deployment processes, testing results, and best practices.

Requirements

• Bachelor's or Master's Degree in Artificial Intelligence, Computer Science, Robotics, Engineering, or a related discipline.
• Minimum 2–4 years of experience in Artificial Intelligence, Machine Learning, Computer Vision, Robotics Engineering, or related fields.
• Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch, or similar technologies.
• Solid understanding of machine learning algorithms, neural networks, deep learning architectures, and computer vision techniques.
• Experience developing and training AI models for applications such as:
• Object Detection
• Image Recognition
• Computer Vision
• Natural Language Processing (NLP)
• Familiarity with robotics frameworks and middleware such as ROS and OpenCV.
• Experience integrating AI solutions into real-time or embedded systems environments.
• Knowledge of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) for AI deployment and scalability.
• Strong foundation in mathematics, including linear algebra, probability, statistics, and optimization techniques.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience working on autonomous vehicles, drones, robotics platforms, or intelligent automation systems.
• Exposure to reinforcement learning, edge AI, or real-time computer vision applications.
• Experience deploying machine learning models into production environments.
• Familiarity with MLOps practices and AI lifecycle management.

Pay: RM8,000.00 - RM12,000.00 per month

Benefits:

• Opportunities for promotion
• Professional development

Work Location: In person