AI/ML Engineer
Tasks
- Build automated testing and evaluation harnesses
- Build reference codebases
- Collaborate on system integration
- Design production architecture blueprints
- Develop open source AI quickstarts
- Ensure secure network perimeters and air gapped deployments
- Implement data privacy and compliance controls
- Integrate system telemetry
- Monitor performance latency throughput cost model quality
- Package extensible AI architectures for adoption
Perks/Benefits
- N/A
Skills/Tech-stack
AgentOps | Air gapped networking | Air-gapped | C++ | CI/CD | CUDA | Docker | Docling | Fine Tuning | Git | Go | Hugging Face | Hugging Face Transformers | Kubeflow | Kubeflow Pipelines | Kubernetes | Langchain | Langgraph | Llamaindex | MLflow | Model Context Protocol | PEFT | PyTorch | Python | ROCm | Ray | SFT | Secure Registry Services | Secure registry | Test-Driven | Test-Driven Development | VLLM | Vector Databases
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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