Lead Data Scientist-(VLM-Multimodal AI ,CV, Deep Learning)
Tasks
- Apply self supervised learning transfer learning fine tuning
- Build scalable training evaluation deployment pipelines
- Build vision language models for visual reasoning
- Create embeddings and vector database based semantic search
- Design train optimize vision foundation models for image and video
- Develop RAG pipelines and multimodal retrieval systems
- Develop multimodal AI systems with vision language architectures
- Evaluate model quality robustness and retrieval effectiveness
- Manage large-scale multimodal datasets
- Optimize distributed training workflows
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data pipeline | Deep learning | Distributed Training | Embeddings | Faiss | Fine Tuning | GPU Acceleration | 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 Transformer | Vision-language | Weaviate
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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