AI/ML Engineer
Tasks
- Build backend services and APIs
- Create data processing pipelines
- Design build test maintain AI ML applications
- Develop production software in Python
- Implement agentic AI workflows
- Integrate LLMs using APIs
- Orchestrate AI workflows
- Participate in architecture and tradeoff discussions
- Troubleshoot system performance and integrations
- Write maintainable, extensible code
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | C# | C++ | Data Pipelines | Data Processing | Deep learning | Distributed Systems | Docker | Feature Engineering | Go | GraphQL | Java | JavaScript | Kubernetes | LLM API | Language Models | Large Language Models | Machine Learning | Microservices | Model Integration | Networking | OSI Model | Orchestration | Prompt engineering | PyTorch | Python | REST APIs | TensorFlow | Terraform | Workflow automation
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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