Machine Learning Engineer, Operations Technology
Tasks
- Automate monitoring drift detection and data quality
- Build scalable production ML systems
- Collaborate with data scientists and product managers
- Design production AI agent evaluations
- Develop MLOps platform with Databricks
- Develop agentic generative AI system
- Implement real time API integrations
- Integrate AI system with content pipeline
- Integrate tools for model development deployment and monitoring
- Translate business needs into AI and ML products
Perks/Benefits
- Dental insurance
- Fitness membership discount
- Generous vacation
- Health insurance
- Health spending account
- Paid time off
- Parental leave top-up
- Unlimited Headspace access
Skills/Tech-stack
API Development | CI/CD | Data Quality | Databricks | DevOps | Drift Detection | Feature Engineering | Kubernetes | LLM orchestration | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Model Serving | Prefect | Prompt engineering | PySpark | Python | Real Time | Real-time APIs | SQL | Test-Driven | Test-Driven Development
Education
N/A
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