ML Validation and Automation Engineer
Description For ML Validation and Automation Engineer
Qualcomm India Private Limited is seeking a talented ML Validation and Automation Engineer to join their team in Chennai. This role combines machine learning expertise with validation and automation capabilities, focusing on improving the efficiency of Qualcomm's AI Accelerator benchmarking.
The position requires a strong foundation in Python programming and machine learning frameworks, with the successful candidate being responsible for developing validation strategies, creating test harnesses, and performing benchmarking of various deep learning models. You'll work with cutting-edge AI technology, including LLMs, Computer Vision, and NLP models.
The ideal candidate will have at least 2 years of relevant experience and a bachelor's degree in computer science or a related field. You'll be joining a world-class organization that offers comprehensive benefits, including health coverage, professional development opportunities, and wellbeing programs.
At Qualcomm, you'll work alongside leading engineering and technology experts, contributing to world-changing innovations in AI and mobile technologies. The company fosters a supportive, inclusive culture where your ideas can contribute to breakthrough technologies. With opportunities for continuous learning, tuition reimbursement, and mentorship, Qualcomm offers a perfect environment for career growth and development in the AI field.
Responsibilities For ML Validation and Automation Engineer
- Understanding ML software ecosystem and developing QA approaches/frameworks
- Development of validation strategies and creation of ML test harnesses for AI Inference Accelerator Cards
- Performance and Accuracy benchmarking of Deep Learning models (LLM, OD, CV, NLP, Transformers etc.)
- Ensure ML features are planned, validated, and automated as per release and customer requirements
- Development and execution of test plans, monitoring and reporting on test execution and quality metrics
- Debug feature and unit/system level defects
- Automation of features into the test framework
Requirements For ML Validation and Automation Engineer
- Bachelor's degree in computer science or related field
- 2+ years relevant work experience
- Hands on experience in Python (mandatory) and Shell
- Experience with ML frameworks such as PyTorch, Caffe2, TensorFlow
- Familiarity with AI frameworks models performance, quantization, and accuracy metrics
Benefits For ML Validation and Automation Engineer
- World-class health coverage for employees and dependents
- Financial planning and future security programs
- Emotional/mental strength and resilience support
- Wellbeing programs
- Continuous learning and development programs
- Tuition reimbursement
- Mentorship programs
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