AI/ ML Application Technical Analyst
1 week ago
AI/ML, GENAI, NLP, Deep Learning, LLM Models
AI/ ML Application Technical Analyst
Required Technical Skill Set**
- Overall Experience: 5+ Years of experience in development/triaging/debugging roles
- AI/ML Knowledge: 2+ years’ experience with common AI/ML algorithms, architectures, tools, and practices. Familiarity with model training, inference, and quantization.
- AI/ ML Frameworks: Knowledge about PyTorch, ONNX, TensorFlow and any other framework
- AI/ ML Model Repositories: Familiarity with repositories like Huggingface, Ultralytics, FuxiCTR
- Technical Verification: Familiarity with software or model verification processes, ensuring that software/models meet specified requirements.
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
(Ideally should not be more than 3-5)
- Overall Experience: 5+ Years of experience in development/triaging/debugging roles
- AI/ML Knowledge: 2+ years’ experience with common AI/ML algorithms, architectures, tools, and practices. Familiarity with model training, inference, and quantization.
- AI/ ML Frameworks: Knowledge about PyTorch, ONNX, TensorFlow and any other framework
- AI/ ML Model Repositories: Familiarity with repositories like Huggingface, Ultralytics, FuxiCTR
- Technical Verification: Familiarity with software or model verification processes, ensuring that software/models meet specified requirements.
- Python and/or C/C++ programming
- Linux and shell script
- GitHub
- Dockers/ Kubernetes/ Containers
Good-to-Have
- Understanding of installing Linux/Windows drivers and debugging failures of drivers
- Knowledge about regression testing/ verification tools
- Debugging code to pin-point areas of problems
- Working with end users to address their questions, debugging their problems and documenting solutions.
- CI/ CD tools and pipeline
- Experience with DevOps and CI/CD practices.
- Experience with data engineering and machine learning pipelines.
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