Data Scientist
Tasks
- Apply MLOps to monitor and scale models
- Build and optimize semantic search layers
- Design and deploy AI agents and RAG pipelines
- Engineer data models and data pipelines
- Implement CI/CD workflows
- Improve ML observability
- Maintain clean codebases
- Manage context windows and fine tuning
- Optimize LLM performance with prompt engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EC2 | AWS EKS | AWS Lambda | AWS SageMaker | Amazon Redshift | Azure Machine Learning | CI/CD | Cloud platform | Data Modeling | Dimensional data | Dimensional data modeling | Embeddings | Fine Tuning | Git | Google Cloud | Google Cloud Platform | Google Gemini | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Machine Learning observability | Natural Language | Natural Language Processing | PGVector | Pandas | PostgreSQL | Prompt engineering | PySpark | Python | SQL | Semantic Search | Snowflake | Transformer Architectures | Vector Databases
Education
Roles
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