AI/ ML Application Technical Analyst

- Ensuring emerging AI models meet the expected performance on target hardware.
- Ensuring easy to use and proficient Developer Experience for end users.
- Verifying that these models get deployed in an efficient and scalable way.
- Hands on proficiency in AI Software Stack, Machine Learning Techniques, Product Verification, Validation & Benchmarking.

This is an exciting opportunity to work at the cutting edge of AI on both SW infrastructure and enablement on state-of-the-art AI hardware technologies!

About the Ideal Candidate:

You ll enjoy working in this team if you like digging into low-level system integrations, compiler support, quantizer and framework optimizations. At the intersection of software engineering and machine learning, you will be part of a team of AI/ ML engineers verifying and analyzing implementation of latest AI/ ML models from the popular repositories like Hugging Face in Python/C++ on state-of-the-art AI devices. The focus will be to ensure required model performance is achieved without sacrificing ease of use.

Linux or embedded devices experience would be a great plus for the job.

Experience:

- 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.

Necessary Hard Skills:

- Python and/or C/C++ programming

- Linux and shell script

- GitHub

- Dockers/ Kubernetes/ Containers

Necessary Soft Skills:

- Strong communication
- Strong analytical and problem-solving skills
- Good teamwork and ability to comprehend the big picture
- Quickly picking up details of a current domain

Optional but Desirable Skills and Experience

- 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.

📌 GCP AI and ML Professionals (Hubballi)
🏢 Han Digital Solution
📍 Hubballi