Engineer

• Model Implementation & Client Success: Lead the end-to-end design, training, and successful deployment of high-performance AI models, ensuring implementation plans meet strategic client goals.
• Data Quality & Process Ownership: Independently execute complex data annotation and Quality Assurance (QA) projects, while defining and championing best practices and operational guidelines for the team.
• Technical Expertise & Mentorship: Serve as the primary technical expert, handling complex escalations and troubleshooting, while mentoring junior engineers on technical execution and best practices.
• Cross-Functional Impact: Act as a critical liaison, translating client needs to technical solutions and providing actionable product feedback and performance insights to internal Product, Design, and Engineering teams.

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