AI Solutions Engineering Specialist (Hybrid)
Tasks
- Analyze designs and create enhancements
- Deploy AI models to production
- Design and develop genai solutions
- Design and develop multiagent systems
- Design and enhance user interfaces
- Develop, maintain, and support distributed applications
- Ensure availability and scalability
- Lead data system architecture
- Test software debug and troubleshoot
- Translate business requirements into technical specifications
Perks/Benefits
Skills/Tech-stack
AWS | Angular | Azure | Big Data | C# | CSS | Data Analysis | Data Pipelines | Data cleaning | Docker | Event Driven | Event-driven architecture | Feature Store | GCP | GenAI | HTML5 | JavaScript | Kubernetes | Language Models | Language Processing | Large Language Models | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | Natural Language | Natural Language Processing | Python | REST APIs | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Solutions | AI Solutions Engineer | Engineer | Software Engineer | Solutions Engineer
Regions
Countries
States
Cities
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