Machine Learning Engineer – Edge AI, Computer Vision

This is a fully remote position, open to applicants in Uruguay.

📋 Description

• Assume full responsibility for Machine Learning models, ensuring they progress beyond training and are reliably deployed in production on physical hardware.

• Create, construct, and enhance real-time AI pipelines that incorporate foundation models, sensor data, application data, and scalable inference workflows.

• Enhance inference performance, memory efficiency, and execution speed for Edge AI platforms such as NVIDIA Jetson and other embedded systems.

• Work closely with clients and multidisciplinary engineering teams.

• Establish trust, suggest proactive solutions, and maintain effective technical communication.

• Troubleshoot, monitor, and uphold production models that operate continuously under real-world hardware limitations.

⛳️ Requirements

• Extensive experience in deploying AI in a production environment.

• Strong foundation in AI and Deep Learning concepts.

• Familiarity with LLMs, Computer Vision, multimodal models, model optimization, and efficient inference techniques.

• Proven track record of optimizing models for devices with limited resources.

• Proficiency in TensorRT, ONNX, OpenCV, C++, or Python.

• Highly collaborative, self-motivated, independent, and articulate in technical communication.

• Advanced proficiency in English with exceptional verbal and written communication skills.

• Required tools include Python, C++, PyTorch/TensorFlow, OpenCV, Docker, and Git.

• Hands-on experience with NVIDIA Jetson, ROS/ROS2, or embedded hardware platforms is highly advantageous.

• Background in Robotics, IoT, Drones, Automotive, or Industrial Machinery is a significant asset.

• Knowledge of sensor fusion techniques involving IMU, cameras, or LiDAR is a major plus.

• Understanding of OTA updates and Cloud IoT architectures such as AWS/Azure IoT is a valuable addition.

🏝️ Benefits

• Engaging, real-world projects that challenge your skills.

• Access to a cutting-edge technology stack.

• Opportunities for strategic growth with potential for long-term ownership, leadership roles, and professional development.

• Supportive work environment with highly motivated, collaborative, and talented professionals.

• Flexibility to work remotely with global, high-impact clients.