Applied AI/ML - Vice President
USD 200K-234K (estimate) Executive-level Full Time
Tasks
- Architect and implement cloud-native MLOps pipelines
- Build AI agents and chatbots
- Communicate AI/ML capabilities to technical and non-technical audiences
- Design develop and deploy AI/ML and GenAI solutions
- Develop monitoring and management tools for AI systems
- Implement real-time model performance tracking
- Lead development of generative AI solutions and classical ML models
- Maintain automated deployment pipelines
- Stay updated on AI/ML research and integrate external APIs
- Understand requirements with stakeholders
Perks/Benefits
- Financial coaching
- Health care
- Mental health support
- On-site wellness
- Retirement plan
- Tuition reimbursement
Skills/Tech-stack
AI infrastructure | API Integration | AWS Bedrock | Airflow | Distributed AI | Distributed AI infrastructure | Docker | FastAPI | Generative Models | Kubernetes | LLMs | Langchain | Language Models | Large Language Models | MLOps | Model Deployment | Model Performance Tracking | Model performance | Monitoring | NLP | Performance Tracking | Prompt engineering | PyTorch | Python | Reinforcement Learning | Scikit-learn | TensorFlow | Transformers
Education
Bachelor's Degree | Data Science | MS | Mathematics | PhD in Computer Science
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