{"id":4329537,"url":"https://alion.io/job/lumentum-senior-forward-deployed-engineer-aiml-2","title":"Senior Forward Deployed Engineer - AI/ML","company":{"id":5264,"name":"Lumentum","domain":"lumentum.com","url":"https://alion.io/company/lumentum","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":52,"ghost_share":0,"stale_share":0.885,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pathum Thani, Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statistical Process Control","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-15T03:33:05Z","employer_posted_date":null,"last_verified_at":"2026-11-15T03:33:05Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Description: 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.\n\nPartner with manufacturing, process, yield, quality, and operations teams to understand workflows, pain points, data sources, and decision-making needs.\n\nConduct deep operational assessments at manufacturing sites by observing workflows, interviewing frontline employees, supervisors, trainers, quality leaders, and operations leadership.\n\nDesign, 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.\n\nTranslate business and manufacturing problems into technical solution designs, including data requirements, model approach, architecture, validation strategy, user interface needs, and deployment path.\n\nWork with structured and unstructured manufacturing data from databases, equipment logs, inspection systems, MES, yield systems, engineering reports, and other plant data sources.\n\nCommunicate technical concepts clearly to both technical and non-technical stakeholders, including engineers, operators, managers, and senior leaders.\n\nMentor local engineers and analysts on AI tools, data science methods, model interpretation, and practical AI adoption in manufacturing workflows.\n\n5+ years of experience in data science, machine learning, AI engineering, manufacturing analytics, process engineering analytics, or a closely related technical field.\n\nStrong hands-on experience developing and deploying AI/ML models in real-world industrial or manufacturing environments.\n\nPractical experience using LLMs and generative AI tools for data analysis, workflow automation, knowledge retrieval, reporting, or engineering productivity applications.\n\nStrong programming skills in Python and common AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, OpenCV, and LangChain/LlamaIndex or similar frameworks.\n\nExperience working with relational databases and SQL, preferably including Oracle or other enterprise database systems.\n\nAbility to build end-to-end prototypes, including data extraction, model development, backend logic, simple user interfaces, dashboards, APIs, or workflow tools.\n\nStrong understanding of manufacturing data, process variation, yield analysis, quality systems, equipment data, inspection data, and root-cause analysis methods.\n\nEnglish communication skills good enough to interact with US and Europe teams.\n\nPreferredQualifications.\n\nExperience in semiconductor, photonics, electronics, optical components, precision manufacturing, or other high-volume advanced manufacturing environments.\n\nExperience with manufacturing systems such as MES, SPC, yield management systems, equipment automation systems, inspection platforms, or quality management systems.\n\nWe are an equal opportunity employer and value diversity at our company.\n\nWe 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.\n\nWe 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.\n\nPlease contact us to request accommodation.\nJob skills required: Electronics, Architecture, Enthusiastic, Automation, Data 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