Principal Machine Learning Engineer
Tasks
- Align on architecture and dependencies
- Architect and ship scalable systems
- Communicate platform trade offs
- Design and prototype production systems
- Drive cross organization execution
- Handle high availability and low latency
- Lead multi-team initiatives
- Mentor senior engineers
- Own architecture roadmap
- Raise bar on technical judgment
- Set technical direction
- Shape engineering culture
- Translate ambiguous problems into actionable insights
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Airflow | Context engineering | Cost Optimization | Data Pipelines | Databricks | Distributed Systems | Embeddings | Evaluation | Feature Stores | Hybrid search | LLM orchestration | Language Models | Large Language Models | Latency | Machine Learning | Memory engineering | Model Serving | Observability | Python | Ranking | Retrieval | Safety | Spark | Temporal | Tool use | Vector Databases
Education
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