Senior Forward Deployed Engineer - AI/ML
At a glance
Senior AI Engineering role at Lumentum. Pathumthani · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Embed with Bangkok manufacturing teams to uncover AI opportunities in yield, inspection, quality, process engineering and operations
- Observe plant work and speak with frontline staff and leaders to map workflows, data sources and operational decisions
- Build and deploy models for defects, anomalies, prediction, root-cause work, process changes and yield gains
- Turn manufacturing needs into technical plans covering data, model design, validation, interfaces and deployment
- Use plant data to create practical solutions, explain results to varied teams and coach local engineers and analysts
What you bring
- At least five years in data science, machine learning, AI engineering, manufacturing analytics or a related technical discipline
- Hands-on record of building and deploying AI or ML models in industrial or manufacturing settings
- Practical use of generative AI or LLMs for analysis, automation, knowledge retrieval, reporting or engineering work
- Strong Python skills, familiarity with common AI frameworks, and experience with relational databases and SQL
- English communication skills for working with teams in the US and Europe
Who this fits
This senior role suits an engineer who can work directly with manufacturing teams, build end-to-end prototypes and help local colleagues apply AI in daily workflows. The role is based with the Bangkok manufacturing team in Pathumthani, Thailand.
From the employer
It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Job Summary**
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.
Preferred Qualifications
- Experience in semiconductor, photonics, electronics, optical components, precision manufacturing, or other high-volume advanced manufacturing environments.
- Experience with manufacturing systems such as MES, SPC, yield management systems, equipment automation systems, inspection platforms, or quality management systems.
We are an equal opportunity employer and value diversity at our company.
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Please contact us to request accommodation.