AI/ML

We are looking for talented people to join the TCS team, focusing on:

• 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 new 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.