Senior Machine Learning Engineer, Data Insights
Tasks
- Build data pipelines
- Build generative AI agent features
- Build semantic layer for analytics
- Deploy and monitor models
- Design experiments
- Develop ML models
- Implement model training feature engineering monitoring
- Improve automation scalability reliability
- Integrate data ingestion to APIs
- Lead incrementality and lift studies
- Measure impact
- Mentor engineers on ML best practices
Perks/Benefits
- Financial wellness support
- Flexible work schedule
- Healthcare benefits
- Mental health support
- Time off
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | C++ | CI/CD | Containerization | Docker | Druid | Evaluation Frameworks | Experiment design | Feature Engineering | GCP | Generative AI | Java | Kubernetes | LLM | Language Processing | MLOps | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Presto | Prompting | Python | Retrieval | Scala | Starrocks | Trino
Education
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