Padmi

Senior AI/ML Engineer Generative AI 5-8 yrs, Location Bangalore

BangalorePosted 2 months ago
Software engineeringSeniorFull Time; Regular
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Salary : upto - 30 LPA Hiring a Senior AI/ML Engineer with deep expertise in computer vision, generative AI, and production-grade ML systems. Must-Haves 5-8 years experience in AI/ML, strong computer vision background Deep expertise in PyTorch/TensorFlow Production ML deployment experience Strong understanding of CNNs, transformers, detection, segmentation Hands-on experience with diffusion models or GANs Strong Python skills and ML system design Cloud experience (AWS/GCP/Azure) Proven record of shipping ML products Passion for experimenting with new AI models Good-to-Have Experience in e-commerce/retail imaging or content pipelines Background in automation and intelligent workflow systems Recommendation/personalization experience Familiarity with multimodal models (vision + language) Experience with neural rendering or 3D generation Open-source contributions or research publications Real-time inference optimization Strong MLOps understanding Ability to build end-to-end ML-driven features Salary : upto - 30 LPA Hiring a Senior AI/ML Engineer with deep expertise in computer vision, generative AI, and production-grade ML systems. Must-Haves 5-8 years experience in AI/ML, strong computer vision background Deep expertise in PyTorch/TensorFlow Production ML deployment experience Strong understanding of CNNs, transformers, detection, segmentation Hands-on experience with diffusion models or GANs Strong Python skills and ML system design Cloud experience (AWS/GCP/Azure) Proven record of shipping ML products Passion for experimenting with new AI models Good-to-Have Experience in e-commerce/retail imaging or content pipelines Background in automation and intelligent workflow systems Recommendation/personalization experience Familiarity with multimodal models (vision + language) Experience with neural rendering or 3D generation Open-source contributions or research publications Real-time inference optimization Strong MLOps understanding Ability to build end-to-end ML-driven features

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