Senior Data Scientist
Tasks
- Build scalable data pipelines
- Create production dashboards
- Define solution requirements
- Deploy production ML pipelines
- Design analytical products
- Develop machine learning models
- Drive DS roadmap and experimentation culture
- Ensure documentation and code quality
- Lead end to end ML and LLM delivery
- Maintain experimental notebooks
- Oversee model development lifecycle
Perks/Benefits
- Annual leave
- Healthcare cover
- Hybrid working
- Life assurance
- Pension scheme
- Training programs and communities
- Volunteering time off
Skills/Tech-stack
AWS | Agent systems | Airflow | Azure | CI/CD | Dashboards | Databricks | Experimentation | Fine Tuning | GCP | Generative AI | Kubernetes | LLM Fine-tuning | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Machine Learning Pipelines | Model Deployment | Multi-Agent | Multi-Agent Systems | Next.js | Pinecone | RAG | Retrieval-Augmented Generation | Vector Databases
Education
Roles
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