Machine Learning Engineer II
Tasks
- Analyze large datasets for user acquisition and retention insights
- Collaborate with cross functional teams to identify ML solutions
- Conduct A B tests for ML model evaluation
- Contribute to ML infrastructure for rapid experimentation and deployment
- Design and build scalable ML pipelines
- Develop and implement ML models for user targeting and personalization
- Participate in code reviews and team collaboration
- Recommend ML techniques to enhance growth efforts
- Share AI assisted engineering best practices and guardrails with team
- Use AI tools for coding debugging and documentation
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | B testing | Data Analysis | Data Processing | Data Visualization | Docker | Hadoop | Kubernetes | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Personalization | PyTorch | Python | Recommendation Systems | SQL | Statistical Analysis
Education
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