09th November, 2025
[Job ID: 1105377]
Responsibilities:
Seeking a highly skilled AI/ML Engineer with expertise in fine-tuning and optimizing Large Language Models (LLMs) and Vision-Language Models (VLMs) to drive cutting-edge applications across natural language processing and computer vision. The role involves designing and implementing advanced Retrieval-Augmented Generation (RAG) systems, developing scalable model training pipelines, and deploying efficient inference solutions for real-world use cases such as dialogue systems, summarization, object detection, and image captioning. The ideal candidate will bring strong technical foundations in deep learning, hands-on experience with model deployment, and the creativity to apply prompt-engineering and agent-based methods to deliver impactful AI-driven solutions.
- 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.
Requirements: [Must]
- 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, C++, or Java, and comfortable working in a Linux environment.
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