Related skills
docker postgresql python django kubernetes📋 Description
- Lead AI solutions across Voice AI, Computer Vision, and Conversational AI.
- Architect and build production-grade AI systems for monitoring and automation.
- Collaborate with cross-functional teams to deploy AI for EV drivers worldwide.
🎯 Requirements
- 8+ years software engineering; 4+ years AI/ML in production
- B.E./M.S. in CS, ML, or related field
- Voice AI systems, telephony (Genesys/SIP), and speech pipelines
- Background in computer vision or visual transformer architectures
- Data engineering with Airflow, DBT; analytics platforms
- LLM fine-tuning (LoRA/QLoRA); model alignment basics
🎁 Benefits
- Inclusive, values-driven culture with growth opportunities
- Impact EV charging globally and on a large scale
- Equal opportunity employer; accommodations available
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