Lead AI Engineer
Core
Architecting and building high-performance Multimodal Systems (Vision + Language) for an Industrial AI platform to solve complex logic problems for Fortune 500 supply chains.
Role type
Lead AI Engineer (Multimodal Systems & Team Management)
Builds
Industrial AI platform components including Multimodal Systems, inference pipelines, and data processing pipelines for supply chain logistics.
Domain
Industrial AI, Supply Chain Logistics, Computer Vision, Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorRT, Computer Vision (OpenCV, YOLO, ResNet), NLP (Hugging Face, LangChain, Spacy), Model Training/Fine-tuning, Team Management, Architecture Design, Inference Optimization
Preferred skills
Vision Transformers (ViTs), CLIP, Multimodal LLMs, Docker, Git, AWS, NVIDIA Jetson, Edge Deployment
Responsibilities
Rapid prototyping and innovating on open-source code for logistics challenges; translating business requirements into scalable AI architectures; diagnosing and optimizing inference pipelines for low latency; driving data analysis, feature engineering, and augmentation strategies; building solutions for Person/Scene understanding and integrating GenAI/LLM capabilities; leading AI/Computer Vision projects and mentoring engineers; managing technical teams, allocating resources, and setting development priorities.
Seniority
Senior, hands-on IC with engineering management responsibilities
