Senior Data Scientist
Tasks
- Apply MLOps and DataOps best practices
- Collaborate with customers to co design use cases and metrics
- Define problem statements and solution design
- Design and optimize data pipelines for monitoring and retraining
- Improve tooling and processes for data science delivery
- Lead research and innovation for machine learning and LLMs
- Mentor peers and set best practices
- Own data science lifecycle from discovery to deployment
- Prototype and validate hypotheses quickly
- Translate technical insights into business outcomes
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | CI/CD | DataOps | Docker | Git | Google BigQuery | Graph analytics | Huggingface | Langchain | Language Models | Language Processing | Large Language Models | Linux | Llamaindex | MLOps | Machine Learning | Model Monitoring | Model retraining | Natural Language | Natural Language Processing | OpenAI API | PySpark | Python | Reproducible pipelines | SQL | Unstructured Data
Education
Roles
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