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Entry-level ML internship in a metro with high applicant interest and modest brand leads to medium competition.
Core ML skills transfer across industries; optics/test-domain knowledge is a helpful but optional specialization.
Requires specific ML, Python, and degree-in-progress qualifications, so moderately strict screening.
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Develop and optimize AI/ML models for analyzing test data from optical transceivers and hardware test systems to improve quality and efficiency.
Support integration of AI/ML into calibration, validation, and automated testing processes, collaborating with cross-functional engineering teams.
Analyze test data to identify test pruning, early termination, yield improvement, and throughput optimization opportunities; generate reports and dashboards for insights.
Pursuing or completed Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related field with an AI/ML focus.
Proficiency in Python programming and experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
Work Experience Required: Internship, academic projects, or research experience in machine learning, data analysis, or related fields relevant to test automation.
Location: On-site role based in Hyderabad, Telangana, India.
Experience or exposure to hardware testing, optical communications, or manufacturing test environments, preferably with knowledge of optical transceiver testing parameters (e.g., TDECQ, ER, BER).
Demonstrated ability to apply supervised and anomaly detection ML algorithms and optimization techniques in practical engineering problems.
Comfortable working in collaborative, cross-functional teams involving AI/ML, test, hardware, and manufacturing engineers, with capability to document and present technical findings clearly.