Data Scientist
PHP 150K-200K (estimate) Senior-level Contract
Tasks
- Build agent tool use layer
- Build validate and deploy predictive models
- Convert business questions into modeling problems
- Design build evaluate LLM agents
- Develop RAG systems using embeddings and vector search
- Develop agent evaluation infrastructure
- Implement escalation logic and confidence thresholds
- Own full model lifecycle including monitoring and retraining
- Own prompt architecture versioning and change control
- Quantify and communicate model impact in business terms
Perks/Benefits
- Documentation first culture
- Fully remote
- High autonomy team
- Intellectual honesty technical depth follow through
Skills/Tech-stack
A/B | A/B Testing | AWS Bedrock | AWS Lambda | AWS SageMaker | Adversarial Testing | Agentic AI | Apache Spark | Aurora | B testing | Chunking | Databricks | Delta Lake | Drift Detection | Embeddings | Feature Engineering | Function Calling | LLM Agents | Language Models | Large Language Models | Model Deployment | Model Monitoring | Model Training | Model Validation | Model retraining | OpenSearch Serverless | PGVector | Prompt engineering | Prompt versioning | Python | RAG | Re-ranking | Regression testing | Retrieval evaluation | Retrieval-Augmented Generation | SQL | Source Control | Statistical modeling | Tool use | Uncertainty Quantification | Vector Search
Education
N/A
Roles
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