Data Scientist
Tasks
- Build and scale generative AI data solutions
- Build vector databases
- Collaborate with data scientists and engineers
- Contribute to prompt engineering and AI workflows
- Create RAG systems
- Deploy and containerize AI models
- Develop APIs for AI applications
- Develop data pipelines
- Develop hybrid search techniques
- Engineer features for AI applications
- Implement and fine-tune Generative AI models
- Implement retrieval systems
- Monitor and maintain AI models in production
- Perform code reviews
- Perform data preprocessing
- Stay updated on generative AI advancements
- Test solutions
- Write documentation
Perks/Benefits
- Hybrid working
- Interview support for disabilities
- Mental health support
- Training and development
- Wellbeing apps
Skills/Tech-stack
Data Privacy | Docker | Fine Tuning | Git | Hugging Face | Hybrid search | Keras | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | Model Fine-tuning | Prompt engineering | PyTorch | Python | QLoRA | RAG | Responsible AI | TensorFlow | Vector Databases
Education
N/A
Roles
AI Engineer | Data Scientist | Engineer | Generative AI Engineer | Scientist
Regions
Countries
States
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