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.