Software Engineering & Development, AVP
Tasks
- Conduct red teaming and monitoring alerting
- Coordinate architecture across parallel AI initiatives
- Design AI solutions from problem framing to deployment
- Develop reusable AI components
- Establish MLOps best practices
- Govern AI solution designs for correctness robustness security
- Identify and mitigate AI-specific risks
- Implement CI CD for ML and automated evaluation
- Implement responsible AI compliance for bias toxicity hallucinations data leakage
- Improve AI development lifecycle practices
- Introduce new AI technologies
- Lead and scale AI engineering teams
- Lead end to end AI feature development
- Mentor AI engineers
- Optimize cost and performance
- Serve as technical advisor for AI strategy and governance
- Translate business problems into AI solution approaches
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | API Development | AWS | Adversarial Robustness | Alerting | Automated Evaluation | Azure | C++ | CI/CD | Cloud platform | Computer Vision | Data Quality | Data Quality Management | Data Versioning | Distributed Systems | Drift monitoring | Go | Google Cloud | Google Cloud Platform | Java | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Drift | Model Inference | Model Training | Model drift monitoring | Monitoring | Natural Language | Natural Language Processing | Observability | Predictive Modeling | Prompt orchestration) | Python | Quality management | Red Teaming | Retrieval-Augmented Generation | Security Compliance
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Developer | AI Engineer | Developer | Engineer | Gen AI Developer
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