Software Engineer, AI Specialist - Monetization (Technical Leadership)
Tasks
- Architect large scale machine learning training and inference infrastructure
- Define AI metrics and data driven decision making
- Define AI model development evaluation and deployment pipelines standards
- Design AI systems with correctness reliability and performance testing frameworks
- Drive adoption of AI native workflows and automation
- Evaluate emerging AI architectures and translate into engineering strategy
- Lead AI platform technical vision and multi year roadmap
- Mentor engineers through architecture reviews and technical coaching
- Partner with legal policy and compliance for privacy security integrity
- Translate research prototypes into production AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
Data-Driven Decision Making | Data-driven | Decision Making | Deep learning | Distributed Training | Foundation Models | Inference Optimization | Knowledge Distillation | Machine Learning | Model Serving | Privacy-preserving | Privacy-preserving machine learning | Quantization | Ranking Systems | Recommendation Systems | Safety engineering | Speculative decoding | Testing Frameworks
Education
N/A
Roles
Regions
Countries
States
Cities
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