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
- Build and maintain ETL pipelines using AWS Glue
- Design and implement AI agents for cloud resource monitoring and optimization
- Design and implement scalable distributed 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 design and development of cloud platforms
- Integrate AI driven insights with AWS GCP Azure
- Maintain documentation and standard processes for AI ML integration in cloud systems
- Manage and optimize data storage and processing using Snowflake
- Optimize processes for developer productivity
- Orchestrate workflows using Apache Airflow DAGs
- Perform code reviews and provide engineering feedback
- Query data lakes using AWS Athena
Perks/Benefits
Skills/Tech-stack
AWS | AWS Athena | AWS Glue | Agile | Angular | Apache Airflow | Azure | Bash | CI/CD | Deep learning | DevOps | Distributed Systems | ETL | Flask | GCP | Git | GitHub Actions | GitLab | Golang | JavaScript | Jenkins | Jira | Machine Learning | OCI | PySpark | PyTorch | Python | Scikit-learn | Snowflake | TensorFlow
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Software Engineer
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