Senior AI Solutions Engineer
Tasks
- Address ethical AI bias and unintended consequences
- Assess solution feasibility
- Build, maintain, and optimize data pipelines
- Deploy manage and scale AI solutions on cloud
- Develop fine tune and deploy AI models
- Ensure security, privacy, and compliance
- Identify high-value AI use cases
- Implement DevOps and MLOps practices
- Improve AI best practices and internal frameworks
- Integrate AI solutions via API
- Manage structured and unstructured datasets
- Mitigate AI deployment risks
- Monitor and version AI models
- Perform prompt engineering and optimization
- Prototype AI ideas
- Provide technical documentation
- Translate business needs into AI solutions
- Use vector databases and semantic search
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Amazon Web Services | Artificial Intelligence | Bias Mitigation | Cloud Computing | Cloud platform | Data Engineering | Data Pipelines | DevOps | Ethical AI | GDPR | Google Cloud | Google Cloud Platform | HIPAA | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Privacy | Prompt engineering | Python | Risk Management | Security | Semantic Search | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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