AI Engineer
Core
Building modular AI infrastructure for edge computing, enabling autonomous systems in remote locations like mines and oil fields.
Role type
Senior AI Engineer (Edge/Robotics)
Builds
Rugged, deployable compute systems for autonomous learning, prediction, and adaptation in real-world environments.
Domain
Edge AI, Robotics, Autonomous Systems, Computer Vision
Deliverable
production ML models
Required skills
Python, Java, C/C++, statistical machine learning, deep learning, natural language processing, transformers, supervised/unsupervised/transfer learning, DNN architectures (CNN, R-CNN, RNN, BERT, GAN, autoencoders), PyTorch, TensorFlow, containerization, microservices
Preferred skills
software/hardware integration for autonomous systems, real-time software optimization, Kubernetes
Technologies
PyTorch, TensorFlow, Kubernetes
Responsibilities
Translate business requirements into AI/ML model specifications; prepare datasets for training and evaluation; build and deploy state-of-the-art ML/DL models; benchmark model quality and publish results; containerize and deploy models in production environments; establish continuous learning pipelines; collaborate with customers and internal teams to refine model quality.
Seniority
Mid-Senior, hands-on IC
