AI Developer - Remote
Tasks
- Apply A B testing and evaluation methodologies
- Build and integrate AI capabilities into enterprise systems
- Build and maintain CI/CD pipelines for AI applications
- Communicate technical concepts to technical and non-technical audiences
- Configure monitoring logging alerting and observability
- Deploy monitor and manage AI models and services in production
- Design develop deploy and maintain production ready AI and machine learning solutions
- Design scalable architecture for cloud native applications
- Develop Python applications with testing best practices
- Develop generative AI solutions using LLMs and RAG
- Implement document intelligence and document to data pipelines
- Implement infrastructure-as-code
- Implement testing evaluation and experimentation frameworks for AI solutions
- Leverage Azure to build scalable AI platforms
- Manage containerized solutions with Docker Kubernetes and Helm
- Measure effectiveness using business and technical metrics
- Optimize solutions using monitoring feedback and business outcomes
- Partner with cross functional teams for business aligned AI delivery
- Translate business challenges into AI enabled applications
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Agile | Azure | Azure DevOps | CI/CD | Docker | Document Intelligence | Generative AI | Helm | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Python | REST APIs | Retrieval-Augmented Generation | Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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