Engineer III, Machine Learning Software
USD 120K-240K Senior-level Full Time
Tasks
- Assess business health and identify product bottlenecks
- Build and automate ETL pipelines
- Communicate technical findings to technical and non-technical audiences
- Deliver end-to-end machine learning solutions
- Design build and productionize machine learning models
- Develop data science products and features
- Ensure scalability and reliability for models
- Optimize platform performance using experiments
- Own data science projects from inception to production
- Translate business problems into data science problems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS EC2 | AWS S3 | Airflow | B testing | CI/CD | Confluence | Data Management | Data Quality | Data Wrangling | Data integration | Deep Neural Networks | Deep learning | ETL | Git | Go | Gradient boosting | Jira | Keras | Logistic Regression | Long Short-Term Memory | Machine Learning | Neural Networks | NumPy | Pandas | Python | Recurrent Neural Networks | SQL | Salesforce | Scikit-learn | Short Term Memory | Slack | Snowflake | Spark | Statistical Analysis | Support Vector Machines | TensorFlow | Time Series | Vector machines | XGBoost
Education
Regions
Countries
States
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