ML Engineering Intern
Tasks
- Automate signal investigation and ticket coordination
- Build batch and streaming pipelines for risk intelligence signals
- Convert validated detection code into production pipelines
- Create automation tools for deployment and monitoring
- Debug production issues
- Design testing and validation frameworks
- Improve monitoring and observability
- Orchestrate schema changes and deployments
- Support multi client rollout of detection pipelines
- Write clean code and document work
Perks/Benefits
- Code review support
- Early talent development program
- In-person mentorship
- Mentorship and buddy program
- Weekly 1 on 1s
Skills/Tech-stack
Airflow | Algorithms | Automation | Batch Processing | Data Structures | Databricks | Databricks Workflows | Feature Engineering | Git | Monitoring | NoSQL | Observability | PySpark | Python | Relational databases | SQL | Schema Design | Streaming | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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