Archer Data Scientist
Livermore, California, United States
USD 163K-204K (estimate) Senior-level Full Time
Tasks
- Architect knowledge bases for search and summarization
- Build end-to-end data pipelines
- Deploy AI pipelines on AWS
- Design LLM pipelines for document understanding
- Develop ETL and ELT processes
- Document architectures and data flows
- Ensure data lineage and reproducibility
- Fine-tune language models
- Generate embeddings and distill knowledge
- Implement RAG architectures
- Implement retrieval techniques for semantic search
- Index data for vector search
- Integrate AI models into production APIs
- Monitor model and data drift
- Orchestrate AWS data workflows
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon RDS | Amazon S3 | Amazon SageMaker | CloudFormation | DVC | Data Versioning | Deep learning | ECS | EKS | ELT | ETL | Elastic Vector Search | Elasticsearch | Embeddings | Faiss | Fine Tuning | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | NumPy | OpenAI | Pandas | Pinecone | PostgreSQL | PyTorch | Python | Qdrant | RAG | Retrieval-Augmented Generation | Step Functions | TensorFlow | Terraform | Vector Databases | Vector Search | Weaviate | Weights and Biases
Education
N/A
Roles
Regions
Countries
States
Cities
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