Senior Data Scientist I
Tasks
- Automate experiment tracking versioning staging and deployment
- Build and operationalize LLM powered applications
- Construct scalable data pipelines
- Design NLP pipelines
- Develop and deploy machine learning solutions
- Evaluate agentic AI frameworks
- Fine tune prompt engineer foundation models
- Implement CI/CD pipelines for ML workflows
- Implement automated alerting and retraining
- Maintain feature stores and data catalog assets
- Monitor models for drift and performance
- Perform data preparation feature engineering and transformation
- Translate raw insurance data into ML ready features
- Write unit and integration tests for ML pipelines
Perks/Benefits
- Car lease
- Certification programs
- Corporate pension scheme
- Education reimbursement
- Employee assistance program
- Employee stock purchase plan
- Health coverage
- Hybrid work environment
- Long-term incentive plan
- Paid time off
Skills/Tech-stack
Apache Spark | Azure AI | Azure DevOps | CI/CD | Databricks | Deep learning | Delta Lake | Git | GitHub Actions | Jupyter | Jupyter Notebooks | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | TensorFlow | VS Code | Vector Databases
Education
N/A
Roles
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