Full Time AI Engineer Jobs, in Arvion Services Puchong - Ricebowl

Job Overview:

We are looking for an AI Engineer to design, develop, and deploy AI-driven solutions for autonomous systems, robotics, and computer vision applications. You will work closely with cross-functional teams to build intelligent systems that improve automation, perception, navigation, and decision-making.

What You Will Do:

• Design, train, and deploy machine learning, deep learning, reinforcement learning, and predictive analytics models.
• Develop computer vision solutions for object detection, image recognition, tracking, and scene understanding.
• Optimize AI models to improve system performance, accuracy, and reliability.
• Integrate AI solutions with robotics and real-time systems.
• Collect, preprocess, and analyze large datasets to support AI development.
• Test, validate, and deploy AI models in simulation and real-world environments.
• Research emerging AI technologies and contribute innovative solutions.
• Document model architectures, methodologies, and technical findings.

What Makes You a Good Fit:

• Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Robotics, or a related field.
• 2–4 years of experience in AI, Machine Learning, Computer Vision, or Robotics.
• Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Strong understanding of machine learning algorithms, neural networks, deep learning, and predictive modeling.
• Experience developing models for object detection, image recognition, computer vision, and/or natural language processing (NLP).
• Knowledge of OpenCV, ROS, robotics middleware, and real-time systems integration.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI deployment.
• Strong foundation in linear algebra, probability, statistics, and optimization techniques.
• Excellent analytical, problem-solving, and communication skills.

What We Offer:

• Opportunity to work on cutting-edge AI, robotics, and autonomous technologies.
• Exposure to impactful, real-world projects and innovation-driven challenges.
• Career growth, learning, and professional development opportunities.
• Collaborative and dynamic work environment.
• Competitive salary and benefits package.