Principal AI/ML Scientist & Engineer
Tasks
- Build AI native CRM intelligence
- Define AI/ML technical strategy
- Design agentic workflows
- Ensure safe execution at scale
- Implement real time reasoning engines
- Lead and mentor AI/ML team
- Lead critical AI ML systems as individual contributor
- Optimize models for customer centric performance
- Partner with AI platform on LLMOps
- Shape AI engineering roadmap
Perks/Benefits
- Compassionate leave
- Flexible hours
- Paid leave
- Pawternal leave
- Performance-based bonuses
- Swag
- Well-being days
- Wellness perks
Skills/Tech-stack
AWS | Agentic Workflows | Apache Kafka | Artificial Intelligence | Batch Pipeline | Container Orchestration | Data Engineering | Deep learning | Distributed Systems | Feature Store | GCP | Kubernetes | LLMOps | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Retrieval-Augmented Generation | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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