Applied AI Lead
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Role Overview
We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture.
Key Responsibilities
- Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready.
- Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics.
- Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases.
- Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence.
- Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business.
Required Qualifications
- ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch).
- Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered.
- Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact.
- Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics.
- Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders.
Preferred Skills
- Entrepreneurial background or experience in early-stage startups.
- High analytical and technical acumen with an obsession for speed-to-market.