Principal AI/ML Scientist & Engineer
Tasks
- Build real time reasoning engines
- Design autonomous agentic workflows
- Extract actionable insights from structured data and unstructured content
- Lead and mentor applied scientists and AI ML engineers
- Lead critical AI ML systems as individual contributor
- Lead technical strategy for AI ML solutions
- Optimize models and data solutions for customer centricity
- Partner with AI platform team on LLMOps
- Set AI engineering roadmap
- Translate technical choices into business value
Perks/Benefits
- Coaching
- Compassionate leave
- Flexible hours
- Internal mobility
- Mentorship
- Paid time off
- Pawternal leave
- Well-being days
- Wellness perks
Skills/Tech-stack
AWS | Agentic Workflows | Artificial Intelligence | Cloud platform | Container Orchestration | Data Engineering | Deep learning | Distributed Systems | Feature Store | Google Cloud | Google Cloud Platform | Kafka | LLMOps | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | Retrieval-Augmented Generation | Vector Databases
Education
N/A
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