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Mid-level ML research role in Bangalore with multimodal requirements increases applicant competition.
Highly specialized ML research skills and publication record limit cross-industry transferability.
Explicit 5–15 years, advanced degree preference, and publications/technical mandates make filters strict.
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Lead advanced AI research and development across multiple domains including LLMs, VLMs, Computer Vision, Speech AI, and Multimodal AI.
Develop, evaluate, and optimize novel AI models and foundation models, translating research into production-grade systems.
Design experiments, benchmark state-of-the-art techniques, and collaborate with teams for innovation and AI solution delivery.
5-15 years experience in AI/ML/Deep Learning or AI Research.
Master’s or Ph.D. in Computer Science, AI, ML, or related field preferred.
Strong hands-on skills with LLMs, VLMs, Computer Vision, Speech Recognition, or Multimodal AI.
Proficiency in Python and PyTorch or TensorFlow.
Experienced in training, fine-tuning, and optimizing large-scale AI models, especially foundation or transformer models.
Demonstrated research excellence with publications or contributions to top AI conferences (NeurIPS, ICML, ICLR, etc.).
Familiar with AI acceleration technologies (CUDA, TensorRT, distributed training) and capable of developing production-quality AI systems.