AIML Engineer

We are looking for a Fresh Graduate / Junior AI-ML Engineer to support the development of machine learning and automation solutions for optical transceiver test optimization. The engineer will work with senior team members to analyze test data build basic ML models automate workflows and support experiments related to calibration validation anomaly detection and test-time reduction.

The role provides an opportunity to learn applied AI/ML in a hardware test environment and contribute to production-oriented solutions involving optical test equipment test data pipelines and intelligent decision-making algorithms.

Primary Duties & Responsibilities

• Support development of AI/ML models for test optimization calibration improvement and test-time reduction.
• Analyze optical test and manufacturing data to identify trends correlations anomalies and improvement opportunities.
• Build and evaluate supervised ML models using Python libraries such as scikit-learn XGBoost or LightGBM.
• Assist in developing predictive models to estimate long-duration test outcomes from early-stage measurements.
• Support anomaly detection using statistical methods Isolation Forests autoencoders or other ML-based approaches.
• Assist senior engineers in experiments involving Reinforcement Learning Bayesian Optimization or multi-armed bandit techniques.
• Develop Python scripts for data preprocessing feature extraction visualization and reporting.
• Work with test engineers to understand optical test parameters such as ER OMA TDECQ LUT calibration bias currents BER and equalizer settings.
• Support integration of ML workflows with test automation frameworks Python APIs LabVIEW or existing internal tools.
• Generate reports and dashboards to summarize model performance test-time savings yield impact and data quality observations.
• Participate in debugging validation and documentation of AI/ML solutions before deployment.
• Collaborate with cross-functional teams including optical test manufacturing firmware software and data science teams.

Education & Experience

• Bachelors or masters degree in Electrical Engineering Electronics & Communication Computer Science Data Science Applied Physics or a related field.
• Fresh graduates or candidates with 02 years of experience may apply.
• Academic projects internships or coursework in AI/ML data science signal processing optimization or test automation are preferred.
• Exposure to hardware testing manufacturing data optical communication or embedded/test systems is a plus.
• Prior experience with Python-based data analysis or ML model development is preferred.

Skills

• Good programming skills in Python.
• Basic understanding of machine learning concepts such as regression classification clustering model evaluation and feature engineering.
• Familiarity with ML/data libraries such as NumPy pandas scikit-learn matplotlib XGBoost or LightGBM.
• Basic knowledge of data preprocessing visualization and statistical analysis.
• Understanding of optimization concepts such as parameter tuning search algorithms or Bayesian Optimization is a plus.
• Basic exposure to deep learning frameworks such as PyTorch or TensorFlow is an advantage.
• Interest in applying AI/ML to real-world engineering test and manufacturing problems.
• Good analytical thinking and problem-solving ability.
• Ability to learn optical test concepts measurement systems and production test workflows.
• Good communication skills and willingness to work in a cross-functional engineering environment.

Preferred Skills

• Academic or project exposure to Reinforcement Learning anomaly detection Bayesian Optimization or time-series analysis.
• Familiarity with hardware test instruments such as oscilloscopes BERTs DCAs or other lab equipment.
• Exposure to LabVIEW test automation frameworks or Python-based hardware APIs.
• Knowledge of optical communication basics digital communication signal processing or high-speed testing.
• Experience with dashboards automated reports or test-data pipelines.
• Familiarity with Git Jupyter notebooks SQL or basic cloud/data tools.

Working Conditions

• The work mode of Finisar India is onsite i.e. 5 days at office

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.