Senior Machine Learning Engineer, Growth
Tasks
- Architect production ML systems
- Build multi modal embedding pipelines
- Deploy ML infrastructure
- Develop predictive scoring microservices
- Engineer low-latency data pipelines
- Establish CI CD for ML delivery
- Implement model drift detection
- Monitor model reliability
- Orchestrate LLM agents
- Process 1P data for external platforms
- Set up feature stores
Perks/Benefits
- Fitness membership discount
- Generous vacation and PTO
- Health & dental benefits
- Health spending account
- Learning and development support
- Parental leave top-up
- Unlimited Headspace access
Skills/Tech-stack
AWS | Azure | CI/CD | Data Pipelines | Drift Detection | Feature Store | GCP | Huggingface | LLM | Machine Learning | Microservices | PySpark | PyTorch | Python | TensorFlow
Education
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