Lead Data Scientist-(Multimodal AI ,CV, Deep Learning)
Tasks
- Apply self supervised learning transfer learning fine tuning
- Build multimodal AI systems
- Build retrieval-augmented generation pipelines
- Build training, evaluation, deployment pipelines
- Design train optimize vision foundation models
- Develop vision language models for visual reasoning
- Evaluate model quality robustness retrieval effectiveness
- Implement embeddings vector databases semantic search
- Manage large scale image video multimodal datasets
- Optimize distributed training workflows
Perks/Benefits
- Employee wellness programs
- Flexible work options
- Hybrid work options
- Professional development support
Skills/Tech-stack
CLIP | Computer Vision | Deep learning | DinoV3 | Distributed Training | Embeddings | Faiss | Fine Tuning | GPU Acceleration | Generative AI | Language Models | Milvus | Multimodal AI | Pinecone | PyTorch | Python | RAG | Segment Anything | Segment Anything Model | 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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