Ai/ml engineer

2 weeks ago

Hyderabad, India Tata Consultancy Services Full time
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 Py Torch, ONNX, Tensor Flow and any other framework
AI/ ML Model Repositories: Familiarity with repositories like Huggingface, Ultralytics, Fuxi CTR
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
Git Hub
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 Dev Ops and CI/CD practices.
Experience with data engineering and machine learning pipelines.

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