Machine Learning Solutions Architect
Tasks
- Create environments for data scientists to build and manipulate data
- Create operational testing strategies and validate models in QA
- Define model deployment approach and infrastructure
- Design and implement data solutions for model inference and retraining
- Ensure product quality and production readiness
- Extract customer data and load into analytical environments
- Monitor and maintain deployed solutions
- Recommend technologies and solution designs for use cases
- Test and deploy machine learning models
Perks/Benefits
- Advanced training
- Certification support
- Generous paid time off
- Holidays
- Professional development
- Remote-first work environment
Skills/Tech-stack
AWS | Azure | Azure Machine Learning | Databricks | Django | Docker | EMR | Flask | GCP | HDFS | JMS | Java | Kafka | Keras | Kubernetes | Linux | MLflow | Machine Learning | PySpark | Python | REST APIs | Redshift | SQL | SageMaker | Scala | Scikit-learn | Snowflake | Spark | Spring | TensorFlow
Education
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