Job Title: AI Lead (Computer Vision & LLMs)

Location: Gurgaon (Hybrid)

Company: AI-Driven Tech Company

About Us

We are a leading AI-driven visual content platform transforming the way businesses and e-commerce platforms create high-quality images and videos at scale. Our cutting-edge AI models help brands, automotive marketplaces, and e-commerce businesses enhance and optimize their digital assets seamlessly.

Role Overview

We are seeking an AI Lead (Computer Vision & LLMs) to drive our AI research and product innovation. You will be responsible for designing and deploying state-of-the-art AI models focused on image processing, object detection, generative AI, and large language models (LLMs) to revolutionize content automation. As a key leader, you will collaborate closely with product and engineering teams to shape our AI roadmap and scale our AI solutions.

Key Responsibilities

• Lead the development and deployment of AI/ML models, particularly in Computer Vision (CV) and Large Language Models (LLMs).
• Research and implement deep learning algorithms for image enhancement, object segmentation, background removal, and generative AI-based media transformation.
• Work on multi-modal AI models that integrate CV and NLP capabilities for enhanced content creation.
• Optimize AI pipelines for real-time processing, inference efficiency, and cloud deployment (AWS, GCP, Azure).
• Collaborate with data scientists, ML engineers, and product teams to translate business problems into scalable AI solutions.
• Stay ahead of the latest AI trends, particularly in Diffusion Models, GANs, Transformers, and Foundation Models.
• Ensure AI models meet high standards of accuracy, fairness, and robustness for production use.
• Mentor and guide junior AI engineers in research and development.

Requirements

• 8+ years of experience in AI/ML research and development, with a strong focus on Computer Vision and NLP (LLMs).
• Expertise in Deep Learning frameworks (PyTorch, TensorFlow) and AI model development.
• Strong understanding of CNNs, Vision Transformers (ViTs), GANs, and Stable Diffusion Models.
• Experience with LLM fine-tuning, prompt engineering, multi-modal AI models, and transformers (BERT, GPT, CLIP, etc.).
• Hands-on experience in deploying AI models at scale using MLOps tools (Docker, Kubernetes, TensorRT, ONNX).
• Proficiency in Python, PyTorch, TensorFlow, and AI optimization techniques.
• Strong knowledge of cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML).
• Experience in real-time AI inference optimization and latency reduction techniques.
• Familiarity with AI ethics, bias mitigation, and explainability in AI models.
• Preferred: Experience in e-commerce, automotive imaging, or creative AI applications.