AI Engineer (AMK)

Job Responsibilities

• Design and develop AI/ML models using Python, TensorFlow, PyTorch, or similar frameworks.
• Work with structured and unstructured data to build intelligent systems.
• Develop and implement models for NLP, computer vision, time-series forecasting, anomaly detection, and reinforcement learning.
• Optimize and deploy AI models into production environments using technologies such as FastAPI, Flask, Docker, and Kubernetes.
• Collaborate with product and engineering teams to integrate AI modules into applications and platforms.
• Conduct experiments, evaluate model performance, and improve models using statistical methods.
• Research and implement state-of-the-art AI algorithms and stay updated with the latest advancements in artificial intelligence.
• Ensure ethical, explainable, and responsible AI development.
• Develop AI solutions for robotics applications, including robotic perception, motion planning, autonomous systems, robot control, sensor fusion, and computer vision.
• Work with robotics technologies such as ROS/ROS2, SLAM, LiDAR/camera sensors, autonomous navigation, robotic simulation, and deployment of AI models into robotic systems.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 2 years of experience in machine learning, artificial intelligence, or related development work.
• Strong proficiency in Python and machine learning libraries such as scikit-learn, NumPy, and pandas.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Knowledge of model deployment and serving technologies, including Docker, REST APIs, and ONNX.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
• Experience in robotics-related AI applications such as robotic perception, motion planning, autonomous systems, robot control, sensor fusion, or computer vision for robotics.
• Hands-on experience with ROS/ROS2, SLAM, LiDAR/camera sensors, autonomous navigation, robotic simulation, or deployment of AI models into robotic systems.