Machine Learning

Thalmaar is seeking an innovative Data Scientist with deep expertise in Large Language Models and hands-on experience with hardware integration. In this role, you'll bridge the gap between cutting-edge AI algorithms and physical hardware systems, developing intelligent solutions that combine LLM capabilities with sensor and camera technologies. 3 month pilot run will be done to see how good the candidate is before bringing the resource fulltime onboard. Please apply only if you are fine with that. Key Responsibilities Design, develop, and deploy LLM-based solutions integrated with hardware sensors and camera systems. Implement and optimize Vision AI models for real-time processing of camera data streams. Collaborate with hardware engineering teams to develop AI-driven solutions for customer applications Conduct research and experimentation with multimodal AI systems combining visual, textual, and sensor data Develop APIs and integration frameworks for seamless hardware-AI communication Perform data analysis and feature engineering from diverse hardware data sources Required Qualifications 3+ years professional experience with Large Language Models (GPT, BERT, Llama, or similar) Strong background in Python and machine learning frameworks (PyTorch, TensorFlow, Hugging Face) Hands-on experience with hardware integration (sensors, cameras, IoT devices, embedded systems) Experience with computer vision and image processing techniques Proficiency in API development and cloud deployment (AWS, Azure, GCP) Solid understanding of data preprocessing and feature extraction from hardware data streams