AI / ML Application Technical Analyst

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.