Software Engineering & Development, VP
Tasks
- Build reusable AI components
- Conduct red teaming and adversarial testing
- Deploy AI models to production
- Design AI solutions end to end
- Develop LLM-based applications
- Develop NLP CV and predictive ML services
- Ensure privacy and data leakage prevention
- Establish MLOps best practices
- Evaluate model quality and robustness
- Implement AI governance and compliance
- Implement CI/CD for ML
- Improve model performance continuously
- Lead AI engineering teams
- Manage monitoring and alerting
- Mentor AI engineers
- Monitor AI systems
- Optimize cost and performance
- Set up automated evaluation
- Translate business problems into AI delivery plans
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Adversarial Testing | Azure | C++ | CI/CD | Compliance | Computer Vision | Deep learning | Distributed Systems | Feature management | GCP | Go | Java | JavaScript | LLM | Low Latency | Low Latency Inference | MLOps | Machine Learning | Model Training | Monitoring and Alerting | NLP | Observability | Privacy | Prompt orchestration) | Python | Red Teaming | Retrieval-Augmented Generation | Security
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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