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About the role
Responsibilities We are seeking an experienced Team Lead AI to lead the design, development, and deployment of cutting-edge AI solutions across enterprise products. The ideal candidate will have solid expertise in Deep Learning, Large Language Models (LLMs), Computer Vision, and NLP, along with proven leadership experience in building and managing high-performing AI teams. This role involves transforming traditional software systems into AI-driven intelligent platforms, driving innovation across multimodal AI, automation, and large-scale data systems. Key Responsibilities - Technical Leadership Lead the end-to-end development of AI solutions: from data collection model development deployment. Architect scalable AI systems using LLMs, deep learning, and multimodal models. Design and implement production-grade ML pipelines and AI-driven product features. Guide the team in selecting appropriate models, architectures, and training strategies. - LLM & Generative AI Systems Design and deploy LLM-based applications (RAG pipelines, chatbots, agents). Work with open-source and proprietary models (e.g., LLaMA, Mistral, Qwen, etc.). Implement Retrieval-Augmented Generation (RAG) Prompt engineering & fine-tuning Token streaming and real-time inference systems Optimize models for latency, cost, and performance in production. - Computer Vision & Multimodal AI Develop and deploy computer vision models for detection, recognition, and document understanding. Build multimodal pipelines combining text, image, and audio inputs. Work with OCR systems and document intelligence workflows. - Data Engineering & Model Training Handle large-scale datasets (structured & unstructured). Design Data Pipelines For ETL processes Feature engineering Dataset curation and annotation Train Models Using Best Practices Distributed training Mixed precision (FP16) Efficient fine-tuning techniques - System Architecture & Deployment Build Scalable Backend Systems Using FastAPI / Python fr .
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