AI/ML Engineer (Hybrid)
Research Triangle Park, North Carolina, United States of America
R
USD 139K-203K Senior-level Full Time
Tasks
- Automate operational workflows using machine learning and scripting
- Build AI agents for cloud resource monitoring and optimization
- Build and maintain ETL pipelines using AWS Glue
- Conduct code reviews
- Design and implement distributed scalable applications
- Develop predictive models for drift detection cost anomaly detection and forecasting
- Ensure performance reliability and security for cloud deployments
- Evaluate emerging AI technologies for operational improvements
- Guide architecture for cloud AI ML platforms
- Integrate AI insights with AWS GCP Azure
- Maintain documentation and standard processes for AI ML integration
- Manage and optimize data storage and processing in Snowflake
- Optimize processes for developer productivity
- Orchestrate workflows with Apache Airflow DAGs
- Query data lakes using AWS Athena
Perks/Benefits
- 401k matching
- Dental insurance
- Hybrid work model
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Short-term disability
- Vision insurance
- Volunteer time
Skills/Tech-stack
AWS Athena | AWS Glue | Agile | Airflow DAGs | Angular | Apache Airflow | Apache Airflow DAGS | Bash | CI/CD | DevOps | Distributed Systems | ETL | Flask | Git | GitHub Actions | GitLab | Golang | Jenkins | Jira | Machine Learning | PySpark | PyTorch | Python | Scikit-learn | Snowflake | TensorFlow
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Software Engineer
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