Archer Data Scientist
USD 163K-204K (estimate) Senior-level Full Time
Tasks
- Align knowledge bases with ontologies
- Architect knowledge bases
- Build data pipelines for ingestion and transformation
- Collaborate with compliance and governance teams
- Deploy AI services on AWS
- Design LLM pipelines
- Document architectures and data flows
- Fine-tune models
- Generate embeddings
- Implement RAG architectures
- Implement retrieval systems
- Index and manage vector databases
- Integrate models into production APIs
- Monitor model performance and drift
- Optimize latency and cost
- Orchestrate ETL and ELT workflows
- Train and evaluate LLM models
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Bedrock | CloudFormation | DVC | Data Versioning | Deep learning | ECS | EKS | Elasticsearch | Elasticsearch Vector Search | Embeddings | Faiss | Fine Tuning | Glue | LLM | Lambda | Langchain | Langgraph | Llamaindex | MLOps | MLflow | Machine Learning | NumPy | OpenAI | Pandas | Pinecone | PostgreSQL | PyTorch | Python | Qdrant | RAG | RDS | Retrieval-Augmented Generation | S3 | SageMaker | Step Functions | TensorFlow | Terraform | Vector Database | Vector Search | Weaviate | Weights and Biases
Education
N/A
Regions
Countries
States
Cities
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