Machine Learning Engineer
Tasks
- Build pipelines for training and evaluation in offline and online environments
- Collaborate with product and strategy teams to implement features
- Design ML models and ML systems for underwriting and portfolio management
- Ensure scalability and reliability of production ML systems
- Experiment and iterate on ML models
- Integrate ML models into production systems
- Speed up time from idea to deployment for new models
- Stay current with ML AI developments and productionize ideas
Perks/Benefits
Skills/Tech-stack
Apache Spark | Data Pipelines | Deep learning | ML Systems | Machine Learning | Model Deployment | Model Evaluation | Orchestration | Production ML | Production ML Systems | PyTorch | Reinforcement Learning | TensorFlow | Transformers | XGBoost
Education
Regions
Countries
States
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