Technical Analyst

Role - AI/ ML Application Technical Analyst

Required Technical Skill Set

1.Overall Experience: 5+ Years of experience in development/triaging/debugging roles

2.AI/ML Knowledge: 2+ years experience with common AI/ML algorithms, architectures, tools, and practices. Familiarity with model training, inference, and quantization.

3.AI/ ML Frameworks: Knowledge about PyTorch, ONNX, TensorFlow and any other framework

4.AI/ ML Model Repositories: Familiarity with repositories like Huggingface, Ultralytics, FuxiCTR 5. 5.Technical Verification: Familiarity with software or model verification processes, ensuring that software/models meet specified requirements.

Desired Competencies

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.