Principal Machine Learning Engineer
Tasks
- Architect backend services
- Automate lead prioritization
- Build agentic workflows
- Build machine learning pipelines
- Build scalable resilient systems
- Connect custom quoting engine with Salesforce
- Deploy machine learning models
- Design event-driven architecture
- Develop LLM-powered tools
- Drive code reviews
- Implement automated testing
- Implement real-time recommendations
- Improve observability
- Integrate backend systems
- Mentor software engineers
- Synchronize data across systems
Perks/Benefits
Skills/Tech-stack
AWS Lambda | Amazon SQS | Amazon SageMaker | Automated testing | Backend Engineering | Code Reviews | Data Lakes | Distributed Systems | Event Driven | Event-driven architecture | Fine Tuning | Go | Java | LLM | Langchain | Lightning Web Components | Low Latency | Low-Latency Systems | Machine Learning | Model Fine-tuning | Observability | Python | Retrieval-Augmented Generation | Salesforce Apex | Salesforce Lightning | Salesforce Lightning Web Components | Web Components
Education
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