Senior Machine Learning Engineer
Tasks
- Analyze data for feature selection
- Break down machine learning pipeline steps
- Champion machine learning best practices
- Collaborate with product managers and engineers
- Conduct A/B testing
- Design machine learning models
- Develop data pipelines
- Evaluate model performance impact
- Implement model observability
- Improve model robustness
- Lead machine learning model selection
- Mentor team members
- Optimize model performance
- Perform statistical modeling
- Prepare data for model training and evaluation
- Prototype machine learning models
- Tune machine learning models
Perks/Benefits
- Annual leave
- Birthday leave
- Flexible work arrangement
- Hybrid work arrangement
- Learning leave
- Medical insurance
- Peer recognition
- Sick leave
Skills/Tech-stack
A/B | A/B Testing | Apache Beam | Apache Flink | Apache Spark | B testing | Batch Processing | Cloud Platforms | Data Analysis | Data Pipelines | Data Storage | Data scaling | Feature Selection | GCP | Key-value | Key-value store | Language Processing | Machine Learning | Model Deployment | Model Observability | Natural Language | Natural Language Processing | NoSQL | Pandas | Personalization | PyTorch | Python | Recommendation Systems | SQL | Scikit-learn | Semantic Search | Statistical modeling | Streaming processing | TensorFlow
Education
N/A
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