AI/ML Engineer

2 months ago

Hyderabad, India Tata Consultancy Services Full time
AI/ ML Application Technical AnalystEnsuring 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 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.

Necessary Hard Skills:Python and/or C/C++ programmingLinux and shell scriptGitHubDockers/ Kubernetes/ Containers

Necessary Soft Skills:Strong communicationStrong analytical and problem-solving skillsGood teamwork and ability to comprehend the big pictureQuickly picking up details of a new domain

Optional but Desirable Skills and ExperienceUnderstanding 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.

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