Senior Applied Machine Learning Developer, Asset Intelligence
Montreal, Toronto, Raleigh, San Francisco, Miami
USD 144K-210K (estimate) Senior-level Full Time
Tasks
- Architect end-to-end ML systems
- Build LLM powered reasoning systems and agentic workflows
- Design data and feedback loops for model retraining
- Drive performance optimization for scalable inference
- Ensure ML infrastructure meets production standards
- Lead technical direction for predictive maintenance and anomaly detection
- Mentor ML and data developers
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Databricks | Docker | Explainability | Hugging Face | Industrial IoT | Kubernetes | LLMs | Langchain | Latency optimization | Llamaindex | MLOps | MLflow | Machine Learning | Model Distillation | PyTorch | Python | Quantization | Reliability Engineering | SageMaker | Scalable inference | Security | Series modeling | TensorFlow | Time Series | Time Series Modeling | Weights and Biases
Education
Regions
Countries
States
Ontario, CA | Quebec, CA | Florida, US | North Carolina, US | California, US
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