Senior Machine Learning Engineer
Tasks
- Collaborate with data analysts
- Conduct machine learning experimentation
- Coordinate with data engineers
- Define ML development best practices
- Deploy machine learning models
- Design machine learning models
- Develop machine learning data products
- Implement feature engineering
- Manage model versioning
- Monitor model performance
- Serve models using APIs
Perks/Benefits
- Free beer
- Free coffee
- Hybrid work
- International team
- Permanent contract
- Professional development opportunities
- Remote work flexibility
Skills/Tech-stack
A/B | A/B Testing | API | AWS | Applied Data Science | B testing | Batch inference | Data Pipelines | Data Science | Docker | Experimentation | Feature Engineering | Impact measurement | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Serving | Model retraining | PyTorch | Python | Real Time | Real-time Inference | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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