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Popular junior ML role in a Hyderabad metro attracts many applicants despite onsite requirement.
Core ML skills transferable, but optical test hardware experience increases domain specificity.
Entry-level years plus preferred ML/Python skills create moderate selectivity.
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Develop and support AI/ML models to optimize optical transceiver testing, including calibration improvement and test-time reduction.
Analyze optical test and manufacturing data to identify actionable insights like trends, anomalies, and yield improvement opportunities.
Assist in integration and deployment of ML workflows with test automation frameworks and generate performance reports.
Bachelor's or Master's degree in Electrical Engineering, Electronics & Communication, Computer Science, Data Science, Applied Physics, or related field.
0 to 2 years of AI/ML or related experience; fresh graduates eligible.
Proficiency in Python programming and familiarity with ML libraries such as scikit-learn, XGBoost, or LightGBM.
Work mode: Onsite at Hyderabad, Telangana, India (5 days a week).
Comfortable working under guidance of senior engineers on applied AI/ML projects in hardware test/manufacturing environments.
Familiarity or interest in optical communication test parameters and hardware test instrumentation.
Experience or strong academic background in supervised ML models, anomaly detection, and automation scripting using Python.