Senior Machine Learning Engineer, Growth
Tasks
- Architect production ML infrastructure
- Build high-throughput low-latency data pipelines
- Build integration layers for visual AI pipelines
- Collaborate with data scientists to improve forecasting efficiency
- Deploy machine learning models
- Develop predictive scoring microservices
- Implement CI CD processes for model delivery
- Monitor model drift and reliability
- Orchestrate LLM based agents
- Process first party data and pipeline signals
- Set up feature stores
Perks/Benefits
- Dental insurance
- Fitness membership discount
- Flexible-hybrid work
- Generous vacation & PTO
- Health insurance
- Health spending account
- Parental leave top-up
- Unlimited Headspace access
Skills/Tech-stack
AWS | Azure | CI/CD | Data Pipelines | Drift Detection | Feature Store | GCP | Huggingface | LLM orchestration | Microservices | Model Drift | Model Drift Detection | Model Monitoring | Multi-Modal | Multi-modal Embeddings | PySpark | PyTorch | Python | TensorFlow
Education
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