Related skills
deep learning machine learning ai data pipelines natural language processing📋 Description
- Design, build, and deploy ML models from structured and unstructured data.
- Develop end-to-end AI architecture from data pipelines to LLMs.
- Design data pipelines and storage with security and compliance.
- Architect scalable AI solutions to handle growing user bases.
- Lead adoption by partnering with product, engineering, and GTM teams.
- Collaborate with stakeholders to translate requirements into AI features.
🎯 Requirements
- 5+ years in ML, data science, or NLP.
- BS/MS in CS, AI, or related field.
- Experience enriching SaaS products with AI/ML.
- Strong proficiency in AI, ML, and deep learning frameworks.
- Experience defining measurable AI-driven outcomes.
- Strategic thinking; lead cross-team technical discussions.
🎁 Benefits
- Competitive salary and equity.
- Career progression and internal mobility.
- Hybrid working model and work-life balance.
- Unlimited PTO.
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