Lead Data Scientist-(VLM-Multimodal AI ,CV, Deep Learning)
Tasks
- Apply self supervised learning transfer learning and fine tuning
- Build multimodal knowledge retrieval systems
- Build scalable training evaluation and deployment pipelines
- Build vision language models for visual reasoning
- Create embeddings and vector database based retrieval
- Design train and optimize vision foundation models
- Develop multimodal AI systems
- Develop retrieval-augmented generation pipelines
- Evaluate model quality robustness and retrieval effectiveness
- Manage large scale image and video datasets
- Optimize distributed training workflows
- Translate research into production-ready solutions
Perks/Benefits
- Collaborative inclusive work environment
- Employee wellness programs
- Flexible-hybrid work
- Learning and growth opportunities
- Performance-based bonus
- Professional development support
Skills/Tech-stack
Computer Vision | Distributed Training | Embeddings | Faiss | Fine Tuning | Foundation Models | GPU Acceleration | Generative AI | Language Models | Milvus | Multimodal AI | Pinecone | PyTorch | Python | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Semantic Search | Supervised Learning | Transfer Learning | Vector Databases | Vision Language Models | Vision Transformers | Vision foundation models | Vision-language | Weaviate
Education
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