AI Engineering Manager: Marketing & Personalization AI
Tasks
- Build personalization recommendation next best action engines
- Communicate technical progress risks and opportunities to non technical stakeholders
- Conduct code reviews and performance optimization
- Define team performance expectations mentorship and career growth
- Develop audience segmentation propensity churn and churn LTV models
- Ensure model governance performance monitoring and compliance with data privacy and security
- Implement AI ML frameworks and best practices
- Integrate AI capabilities with product platform and DevOps systems
- Lead AI engineering team
- Monitor engineering metrics and KPIs
- Optimize campaign send time and experimentation
- Oversee AI development lifecycle training validation deployment experimentation and improvement
- Own AI model design architecture integration for marketing personalization
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Kafka | B testing | CI/CD | Churn modeling | Customer Segmentation | Deep learning | Experimentation | GCP | Generative AI | Hugging Face | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | OCI | PEFT | Personalization | Propensity Modeling | PyTorch | Python | Recommendation Systems | Retrieval-Augmented Generation | Rust | Software Architecture | System design | TensorFlow | Tokenizers | Transformers | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
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