Software Engineering & Development, VP
Tasks
- Automate evaluation red teaming monitoring and alerting
- Build reusable AI components and patterns
- Coordinate architecture across parallel AI initiatives
- Deploy AI solutions and monitor performance
- Develop LLM based NLP CV and predictive ML features
- Establish MLOps best practices
- Evaluate model correctness robustness security
- Identify and mitigate data drift adversarial and latency cost risks
- Implement AI governance for responsible AI
- Implement CI/CD for ML
- Improve AI development lifecycle and incident response
- Lead and scale AI engineering teams
- Lead end to end AI solution design and delivery
- Mentor AI engineers and applied scientists
- Optimize cost and performance
- Plan build vs buy model selection and evaluation
- Provide AI technical advisory on strategy and vendor decisions
- Reduce bias toxicity hallucination and data leakage risk
- Translate business problems into AI approaches
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | APIs | Automated Evaluation | C++ | CI/CD | Computer Vision | Data Drift | Data Versioning | Data drift monitoring | Distributed Systems | Drift monitoring | Go | Java | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Red Teaming | Retrieval-Augmented Generation | Security
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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