Applied Production Machine Learning Engiineer
Alpharetta, Georgia, United States
USD 110K-186K (estimate) Senior-level Full Time
Tasks
- Apply risk controls
- Architect machine learning models
- Automate releases and monitoring
- Build data ingestion pipelines
- Collaborate with product and data science teams
- Conduct structured experimentation
- Create feature engineering services
- Deploy machine learning applications
- Develop API-driven services
- Enforce data pipeline discipline
- Implement real-time inference services
- Monitor data drift
- Monitor model drift
- Operate machine learning applications
- Optimize model performance continuously
- Translate business requirements into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Airflow | Cassandra | Cloud Environments | Data Drift | Data Pipelines | Data drift monitoring | Databricks | Docker | Drift monitoring | Feature Engineering | Java | Kafka | Keras | Kubernetes | Machine Learning | Model Monitoring | MongoDB | NoSQL | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | SQL | Scala | Scikit-learn | Snowflake | Spark | TensorFlow
Education
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