Sr Applied AI Machine Learning Engineer - Claims Data Science
USD 117K-175K Senior-level Full Time
Tasks
- Automate data workflows
- Build CI/CD pipelines
- Build MLOps services
- Deploy models in cloud environments
- Design develop and maintain models as a service
- Develop web services for model serving
- Implement infrastructure-as-code
- Mentor engineers and present to technical audiences
- Monitor models and cloud usage
- Research implement machine learning algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
API Management | AWS | Agile | Apache Airflow | Big Data | BigQuery | C# | CI/CD | CloudFormation | Credential Management | Data Pipeline Architecture | Data pipeline | Docker | EC2 | Encryption | Generative AI | GitHub | GitHub Actions | Google Cloud | Hadoop | Hive | Infrastructure as Code | Java | Jenkins | Jinja | Kubernetes | MLOps | Machine Learning | Object-Oriented | Object-oriented programming | Pipeline architecture | Python | Redshift | SQL | SageMaker | Scikit-learn | Snowflake | Spark | Streamlit | TensorFlow | Terraform | Web Services | Workflow automation | “as-code”
Education
Regions
Countries
States
Cities
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