AI Engineer

Role Overview:

We are looking for a highly skilled Artificial Intelligence (AI) Engineer to design, develop, and

implement AI-driven solutions for our drone and AGV systems. You will play a crucial role in

advancing our AI capabilities, focusing on machine learning models, computer vision, and

predictive analytics to enable smarter, more autonomous systems.

Key Responsibilities:

Develop AI Solutions: Design, train, and implement machine learning models, including deep

learning, reinforcement learning, and predictive algorithms for autonomous systems.

Optimize Performance: Enhance AI-driven systems to improve navigation, object recognition,

decision-making, and overall performance of drones and AGVs.

Integrate AI with Robotics: Collaborate with hardware and embedded software teams to

seamlessly integrate AI models into robotics systems.

Data Management: Collect, preprocess, and analyze large datasets to develop robust AI

solutions.

Research & Innovation: Stay updated with the latest AI and robotics trends, tools, and

methodologies, ensuring Meraque remains at the forefront of technology.

Testing & Validation: Conduct rigorous testing of AI systems in simulation and real-world

environments to ensure reliability and accuracy.

Documentation: Prepare comprehensive technical documentation, including model

architectures, algorithms, and results for knowledge sharing and reference.

Requirements:

Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Robotics, or any

related field.

At least 2–4 years of experience working in AI, machine learning, or robotics engineering.

Proficiency in TensorFlow, PyTorch, or similar machine learning frameworks.

Strong understanding of machine learning algorithms, neural networks, and computer vision

techniques.

Experience in designing and training deep learning models for tasks such as object detection,

image recognition, and natural language processing.

Knowledge of robotics middleware (e.g., ROS, OpenCV) and real-time systems integration.

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment.

Strong mathematical foundation in linear algebra, probability, and optimization techniques