Data Scientist II
Tasks
- Apply prompt context engineering and LLM fine tuning
- Build and evaluate GraphRAG and semantic search systems
- Collaborate on end-to-end AI projects
- Communicate findings to technical and non-technical audiences
- Deploy and monitor generative AI applications in production
- Design build and orchestrate agentic AI workflows
- Develop prototypes and proof of concepts from research
- Implement evaluation frameworks for LLM quality safety and relevance
- Troubleshoot data and AI approaches
Perks/Benefits
- English lessons
- Extra paid month for birthing caregivers
- Gym coverage
- Hybrid & flexible working
- Internet coverage
- Learning and development
- Lunch Credit
- Medical Assurance
- Pet friendly
- Unlimited vacations
Skills/Tech-stack
Anthropic API | Cloud Computing | Containers | Deep learning | DeepEval | Docker | ETL | Efficient Fine Tuning | Fine Tuning | Gemini API | Generative AI | GraphRAG | Hugging Face | Infrastructure as Code | LLM-as-a-Judge | Langgraph | Language Models | Large Language Models | LoRA | Machine Learning | Model Quantization | OpenAI API | Parameter efficient fine-tuning | Prompt engineering | Python | QLoRA | Ragas | Retrieval-Augmented Generation | SQL | Semantic Search | VLLM | Workflow Orchestration | “as-code”
Education
Roles
Regions
Countries
States
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