Senior Engineer
oraclecloud
Job Description
- Design, develop, validate, and deploy machine-learning solutions that improve optical transceiver calibration quality, test time, yield, and equipment utilization.
- Build supervised-learning models for prediction, classification, regression, anomaly detection, and early test-outcome prediction using high-volume production and engineering test data.
- Evaluate and apply optimization techniques—including Bayesian optimization, reinforcement learning, and hybrid/model-based approaches—where they provide measurable benefit for multi-parameter tuning and expensive test operations.
- Develop robust feature-engineering, data-quality, model-training, and model-evaluation pipelines for test and trace data.
- Integrate ML inference and optimization services with production test software, Python APIs, databases, and existing automation frameworks.
- Establish model validation criteria, including accuracy, repeatability, test-time reduction, false-pass/false-fail risk, yield impact, and fallback behavior.
- Monitor production model performance, data drift, and operational failures; implement versioning, logging, alerting, rollback, and retraining mechanisms.
- Analyze test and manufacturing data to identify bottlenecks, correlations, failure signatures, and opportunities for test-suite optimization.
- Work closely with test-development, product engineering, manufacturing, and software teams to translate technical requirements into deployable solutions.
- Mentor junior engineers through technical reviews, design guidance, and hands-on problem solving.
- Prepare clear technical documentation, results summaries, and business-impact reporting for engineering and management stakeholders.
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Contribute to invention disclosures, patents, or technical publications where applicable.
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