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 rolesAI / 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 frameworkAI / ML Model Repositories : Familiarity with repositories like Huggingface, Ultralytics, FuxiCTRTechnical Verification : Familiarity with software or model verification processes, ensuring that software / models meet specified requirements.Python and / or C / C++ programmingLinux and shell scriptGitHubDockers / Kubernetes / ContainersGood-to-Have
Understanding of installing Linux / Windows drivers and debugging failures of driversKnowledge about regression testing / verification toolsDebugging code to pin-point areas of problemsWorking with end users to address their questions, debugging their problems and documenting solutions.CI / CD tools and pipelineExperience with DevOps and CI / CD practices.Experience with data engineering and machine learning pipelines.