Senior Engineer AIML

Primary Duties & Responsibilities

• 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 techniquesincluding Bayesian optimization reinforcement learning and hybrid/model-based approacheswhere 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.

• Contribute to invention disclosures patents or technical publications where applicable.

Education & Experience

• Bachelors or masters degree in Computer Science Electrical/Electronics Engineering Applied Physics Data Science or a related discipline.
• 35 years of hands-on experience developing and deploying applied AI/ML solutions in an engineering manufacturing test semiconductor optics industrial or similar environment.
• Demonstrated experience delivering at least one ML solution beyond proof of concept including integration validation and operational support.
• Experience working with time-series sensor measurement manufacturing test or high-dimensional engineering data is strongly preferred.

• Experience in optical transceivers semiconductor test high-speed electronics signal integrity or hardware test automation is a strong advantage.

Required Technical Skills

• Strong Python software-development skills including clean maintainable testable and production-oriented code.
• Hands-on experience with PyTorch scikit-learn XGBoost/LightGBM or equivalent ML frameworks.
• Strong understanding of model development and evaluation: data preparation feature engineering cross-validation metrics bias/variance model explainability and error analysis.
• Experience with regression classification anomaly detection and statistical analysis of engineering or manufacturing data.
• Experience building or consuming REST APIs and integrating ML components into larger software systems.
• Working knowledge of SQL and data-processing tools such as pandas NumPy and Parquet/CSV-based data pipelines.
• Familiarity with source control code review CI/CD containerization and Linux-based development environments.
• Strong problem-solving communication and cross-functional collaboration skills.

Preferred Skills

• Experience with Bayesian optimization reinforcement learning multi-armed bandits or constrained optimization applied to real-world systems.
• Experience with MLOps practices such as experiment tracking model registry model versioning monitoring drift detection and retraining workflows.
• Experience with FastAPI Docker PostgreSQL Elasticsearch Airflow MLflow or similar production data and ML platforms.
• Familiarity with test automation or instrumentation interfaces including oscilloscopes DCA BERT optical power meters source-measure units or equivalent equipment.
• Knowledge of optical-transceiver test parameters such as extinction ratio OMA BER TDECQ equalization bias control and calibration workflows.
• Experience with statistical process control yield analysis correlation studies and measurement-system analysis.
• Exposure to C# .NET LabVIEW or integration with established test-execution frameworks.

Working Conditions

• Primarily onsite role based in Hyderabad with collaboration across global engineering and manufacturing locations.
• Flexibility to support meetings with teams in different time zones when required.
• 5 days working from office

• Ability to work with production and engineering test environments subject to applicable site safety and access requirements.

CultureCommitment

Ensure adherence to companys values (ICARE) in all aspects of your position at Coherent Corp.:

Integrity Create an Environment of Trust

Collaboration Innovate Through the Sharing of Ideas

Accountability Own the Process and the Outcome

Respect Recognize the Value in Everyone

Enthusiasm Find a Sense of Purpose in Work

Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law.