Senior Machine Learning Engineer for AI Product
Tasks
- Build MLOps framework with monitoring and alerts
- Collaborate with product managers data engineers and backend engineers
- Create model drift detection and performance tracking
- Deploy machine learning models in production
- Design train evaluate and iterate machine learning models
- Develop machine learning models end-to-end
- Ensure reliability privacy and continuous monitoring
- Implement automated retraining pipelines
- Improve internal tooling and share best practices
- Scale machine learning solutions
Perks/Benefits
- Continuous learning opportunities
- Mentoring and coaching
- Remote work flexibility
- Unlimited access to AI tools
Skills/Tech-stack
AWS | Airflow | ArgoCD | Continuous integration | Drift Detection | FastAPI | Generative AI | GitHub | Kafka | Kibana | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | PostgreSQL | Prometheus | Python | Retraining Pipelines | Snowflake
Education
N/A
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