Senior Machine Learning Engineer
Tasks
- Apply cybersecurity principles for secure DoD applications
- Build event streaming pipelines
- Communicate findings to stakeholders
- Deploy and monitor data pipelines
- Design machine learning models
- Develop cloud native data workflows
- Develop machine learning algorithms
- Implement containerized environments
- Implement data pipelines and analytics
- Normalize and structure data
- Optimize data pipeline performance
- Perform exploratory data analysis
- Use data pipeline frameworks
- Use distributed computing platforms
- Work with GIS data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Kinesis | AWS Lambda | AWS S3 | Airbyte | Amazon EFS | Amazon RDS | Amazon SNS | Amazon SQS | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | ArcGIS | CI/CD | DBT | Dask | Docker | Edge Computing | Git | Kubernetes | MLOps | Machine Learning | PostGIS | PyTorch | Python | RabbitMQ | Scikit-learn | Snowflake | TensorFlow | ZeroMQ
Education
Regions
Countries
States
Cities
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