About this role
Hands-on AI Engineer to train, fine-tune, deploy and optimise AI models (including running models locally on company-owned GPU infrastructure). Responsibilities include building local LLMs, computer vision and multimodal solutions, developing production RAG systems, creating APIs, and supporting secure offline or air-gapped deployments.
Skills for this role
AIMachine LearningDeep LearningPythonModel trainingModel fine-tuningLocal/self-hosted model deploymentGPU-based inferenceModel quantisationInference optimisationGPU memory managementLatency reductionLLMsTransformersRAGEmbeddingsVector databasesVector searchRetrievalRerankingComputer VisionObject DetectionObject TrackingMultimodal AIVision-language modelsLoRAQLoRASupervised fine-tuningvLLMHugging Face``PyTorch``API development``Evaluation frameworks``Hallucination