Embedded Validation Engineer

Tata Consultancy Services; Hyderabad; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Tata Consultancy Services in Hyderabad seeks a skilled ML validation engineer to join a cutting-edge AI/ML initiative and ensure robust, production-ready pipelines.

You will work with PyTorch, TensorFlow, ONNX Runtime, and acceleration toolchains while collaborating with global teams to deliver high-quality results and maintain strict validation standards.

Qualifications

• Strong fundamentals in ML, DL, LLMs, and recommender systems.
• Experience with validation processes, defect management, and SDLC.
• Proficiency with Ubuntu and Yocto Linux environments.
• Experience with open-source frameworks such as PyTorch, TensorFlow, and ONNX Runtime.
• Knowledge of profiling ML workloads and end-to-end AI pipeline validation.

Skills

ML fundamentals

Deep learning

Large language models

Recommender systems

PyTorch

TensorFlow

ONNX Runtime

CUDA

Ubuntu

Yocto

Python

Validation planning

SDLC

QA practices

Problem solving

Communication

Global collaboration

Tools

PyTorch

TensorFlow

ONNX Runtime

Job description

Required Skills

• Strong background in machine learning fundamentals, including deep learning, large language models, and recommender systems
• Strong experience in validation processes, defect management, and the software development life cycle (SDLC)
• Strong knowledge of Ubuntu and Yocto Linux environments
• Experience working with open-source frameworks such as PyTorch, TensorFlow, and ONNX Runtime
• Experience in profiling machine learning workloads
• Prior experience executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, and TensorFlow/PyTorch integrations
• Experience validating end-to-end AI pipelines, including:
  • Model conversion (e.g., PyTorch to ONNX)
  • Inference runtimes (e.g., ONNX Runtime, TensorRT, ROCm/HIP)
  • Compilers and toolchains (e.g., TVM, Vitis AI, XDNA, XLA)
  • Kernel execution, memory transfers, and inference result validation
• Strong Python programming skills
• Excellent problem-solving abilities with a proactive and creative approach
• Experience with production-level software quality assurance practices, methodologies, and procedures
• Strong ownership of deliverables, excellent communication skills, and experience working with global teams