AI Lead (Computer Vision & LLMs)

Gurgaon, Haryana
Permanent
Full-time

2 months ago

Job Title: AI Lead (Computer Vision & LLMs)Location: Gurgaon (Hybrid)Company: AI-Driven Tech CompanyAbout UsWe 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 OverviewWe 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.

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