Machine Learning Engineer

We are seeking for AI/ML Engineer with expertise in fine-tuning and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs). The ideal candidate will be experienced in optimizing models using techniques such as LoRA, implementing Retrieval-Augmented Generation (RAG) systems, and developing scalable AI pipelines for diverse applications including text summarization, object detection, and intelligent agents.

Key Responsibilities

• Fine-tune and optimize LLMs/VLMs (e.g., LoRA or other low-rank approaches) to meet project needs, delivering to use-cases such as intent recognition, text summarization, multi-turn dialogue, object detection, image captioning, and more.
• Design and implement Retrieval-Augmented Generation (RAG) systems.
• Build and maintain the toolchain for fine-tuning and deploying LLMs/VLMs; manage training clusters; and deliver efficient inference on both server-side and embedded targets.
• Apply prompt-engineering and agent-based techniques to design, evaluate, and iterate solutions tailored to user scenarios.
• Knowlege of PTQ and QAT for model deployment on the edge

Required Skills & Experience

• Solid grounding in Natural Language Processing and Computer Vision; well-versed in mainstream models, their principles, strengths, and typical applications, with the ability to craft suitable technical solutions.
• Proficient with deep-learning frameworks such as PyTorch; familiar with the architecture and implementation of models like Transformer, BERT, LLaMA, LLaVA and related extensions.
• Hands-on experience designing production architectures for large-model applications (e.g., chatbots, RAG pipelines, intelligent agents).
• Fluency in at least one programming language such as Python
• Good to have C++