Staff Machine Learning Engineer, Financial Connections
Tasks
- Automate model training and evaluation
- Build ML engineering culture
- Build ML models
- Collaborate with data science teams
- Collaborate with engineering partners
- Collaborate with product teams
- Deploy ML models
- Design ML models
- Develop large-scale ML systems
- Develop offline and online training pipelines
- Ensure scalability and reliability
- Evaluate ML models
- Experiment with ML models
- Identify ML opportunities
- Integrate ML models into production systems
- Iterate on ML models
- Mentor engineers
- Own ML models in production
- Train ML models
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Data Pipelines | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | NLP | PyTorch | TensorFlow | Text Classification | Transformers | XGBoost
Education
Regions
Countries
States
Cities
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