Lumentum Operations LLC is seeking a talented and innovative Forward Deployed AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions for various manufacturing applications. You will be instrumental in transforming complex data into actionable insights and intelligent systems.

Key Responsibilities

• Serve as a forward deployed AI engineer embedded with the Bangkok manufacturing team to identify high-impact AI opportunities across process engineering, yield improvement, visual inspection, quality control, operations, and reporting workflows.

• Partner with manufacturing, process, yield, quality, and operations teams to understand workflows, pain points, data sources, and decision-making needs.

• Conduct deep operational assessments at manufacturing sites by observing workflows, interviewing frontline employees, supervisors, trainers, quality leaders, and operations leadership

• Design, prototype, and productionize AI/ML solutions for manufacturing use cases, including visual inspection, defect classification, anomaly detection, predictive analytics, root-cause analysis, process optimization, and yield improvement.

• Translate business and manufacturing problems into technical solution designs, including data requirements, model approach, architecture, validation strategy, user interface needs, and deployment path.

• Work with structured and unstructured manufacturing data from databases, equipment logs, inspection systems, MES, yield systems, engineering reports, and other plant data sources.

• Communicate technical concepts clearly to both technical and non-technical stakeholders, including engineers, operators, managers, and senior leaders.

• Mentor local engineers and analysts on AI tools, data science methods, model interpretation, and practical AI adoption in manufacturing workflows.

Required

Qualifications

• 5+ years of experience in data science, machine learning, AI engineering, manufacturing analytics, process engineering analytics, or a closely related technical field.

• Strong hands-on experience developing and deploying AI/ML models in real-world industrial or manufacturing environments.

• Practical experience using LLMs and generative AI tools for data analysis, workflow automation, knowledge retrieval, reporting, or engineering productivity applications.

• Strong programming skills in Python and common AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, OpenCV, and LangChain/LlamaIndex or similar frameworks.

• Experience working with relational databases and SQL, preferably including Oracle or other enterprise database systems.

• Ability to build end-to-end prototypes, including data extraction, model development, backend logic, simple user interfaces, dashboards, APIs, or workflow tools.

• Strong understanding of manufacturing data, process variation, yield analysis, quality systems, equipment data, inspection data, and root-cause analysis methods.

• English communication skills good enough to interact with US and Europe teams.