AI/ML Engineer
Tasks
- Build reference codebases
- Create open-source AI quickstarts
- Design production-ready AI architecture blueprints
- Develop automated testing and evaluation harnesses
- Implement system telemetry and performance benchmarking
- Incorporate data privacy and secure network design
- Integrate solutions with external engineering teams
- Package reproducible extensible AI architectures
Perks/Benefits
Skills/Tech-stack
Air gapped networking | Air-gapped | C plus plus | C# | CI/CD | CUDA | Data Privacy | Git | Go | Hugging Face | Hugging Face Transformers | Kubeflow | Kubernetes | Langchain | Langgraph | Llamaindex | MLflow | Model Context Protocol | PEFT | PyTorch | Python | ROCm | Ray | SFT | Secure registry | Test-Driven | Test-Driven Development | VLLM | Vector Database
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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