Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : * Proficiency More ❯
Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : * Proficiency More ❯
wider communities of practice. Mentor and coach team members. Key Skills AI/ML Expertise: Experience with OCR, Object Detection, LLMs, and frameworks such as Transformers (Hugging Face), PyTorch, OpenCV, YOLO. Programming: Strong Python (3.9+) skills, including OOP, async patterns, data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS More ❯
or similar numerate discipline with a software engineering emphasis. Familiarity with Robotics Middleware (e.g., ROS) Simulation, Robotics and Machine Learning techniques Use of current programming language features (e.g., Boost, OpenCV, C 17 onwards for C++) Experience with automating application deployment and environment configuration management Software verification and deployment techniques An understanding of defect tracking systems such as GitLab/ More ❯
