Machine Learning Engineer

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.

We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include:

• Search relevancy engineering.
• Conversational AI Development: Design, train, fine-tune, and deploy LLMs with reasoning capabilities.
• Retrieval-Augmented Generation (RAG):Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.
• Model Fine-Tuning & Training: Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT).
• Model Deployment & Inferencing: Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks.
• Multi-Agent Systems: Develop and integrate agentic capabilities using frameworks such...