Senior Data Science Engineer
Tasks
- Build curated datasets
- Deploy models using containers
- Design data pipelines for data ingestion
- Develop ML and LLM models for risk detection
- Ensure model outputs are interpretable
- Implement CI/CD pipelines for ML deployment
- Integrate models into core product
- Manage infrastructure as code
- Monitor latency data drift and model performance
- Prototype and refine predictive models
- Set up alerting and retraining triggers
- Track success metrics and ROI
- Validate and transform data for analytics and training
- Wrap models into production ready APIs
Perks/Benefits
Skills/Tech-stack
API Development | Apache Airflow | Apache Spark | CI/CD | DBT | Data Drift | Data Quality | Data Validation | Databricks | Databricks Workflows | Docker | ELT | ETL | Feature Engineering | Fine Tuning | Generative AI | Git | Informatica | Language Models | Large Language Models | MLflow | Machine Learning | Model Monitoring | Model retraining | Prompt engineering | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | Terraform | Weights and Biases
Education
N/A
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