AI/ML Engineer
Tasks
- Build backend services and orchestration logic
- Design build test and maintain AI ML applications
- Develop production software in Python
- Implement AI agentic workflows
- Integrate AI APIs into workflows and tools
- Integrate LLMs at the API level
- Participate in technical architecture tradeoffs
- Process data through pipelines
- Troubleshoot improve and refine system performance and usability
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agentic AI | C# | C++ | Data Processing | Data Processing Pipelines | Deep learning | Docker | Feature Engineering | Go | Java | JavaScript | Kubernetes | LLM API | LLM API integration | Language Models | Large Language Models | Machine Learning | Microservices | Networking Fundamentals | OSI Model | Orchestration | Processing pipelines | Prompt engineering | PyTorch | Python | REST APIs | TensorFlow | Terraform | Workflow automation
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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