Principal AI/ML Scientist & Engineer
Tasks
- Build AI native CRM intelligence
- Define AI/ML technical strategy
- Deliver critical AI ML systems as individual contributor
- Design AI ML solutions for structured and unstructured data
- Develop autonomous agentic workflows
- Implement real time reasoning engines
- Lead AI ML and data engineering roadmap
- Lead and mentor AI/ML team
- Optimize models and data solutions for performance
- Partner on LLMOps strategy
Perks/Benefits
- Coaching
- Compassionate leave
- Flexible hours
- Internal mobility
- Mentorship
- Paid leave days
- Pawternal leave
- Swag
- Well-being days
- Wellness perks
Skills/Tech-stack
AWS | Agentic Systems | Cloud platform | Data Engineering | Deep learning | Distributed Systems | Docker | Feature Store | Google Cloud | Google Cloud Platform | Kafka | Kubernetes | LLMOps | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | RAG | Vector Databases
Education
N/A
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