ZT Systems
Secaucus, New Jersey
Principal AI / Machine Learning Engineer Position at ZT Systems. About the Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT's roadmap for applying artificial intelligence and machine learning in manufacturing. The AI/ML Transformation Architect will be the pivotal role in shaping ZT's future state vision for AI & ML by identifying high impact use cases, preparing the organization structurally and technically for adoption, and driving successful implementation of applications. What You Will Do Lead or contribute to transformation initiatives, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement. Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations. Work with factory engineering, quality, and operations to identify, evaluate, and prioritize AI/ML use cases that deliver measurable business value. Collaborate across design, quality, manufacturing, test, and supplier engineering to drive solutions that integrate seamlessly into production. Define and implement new systems, processes, or frameworks that support the smart factory vision, including automation, metrology, advanced inspection, and predictive analytics. Define the organizational, data, and process changes required to prepare the business for AI/ML integration. Drive the design, development, and deployment of AI/ML solutions, ensuring successful adoption across factories. Apply AI/ML techniques to analyze manufacturing data sets - including metrology, vision inspection, event data, test results - conduct regression analysis, correlation studies, and commonality analysis. Leverage deep, data rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate insights that improve yield, reliability, and throughput. Apply advanced statistical and analytical methods (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments. Champion the cultural and operational transformation required for AI/ML success, including training and upskilling the industrial engineering team in new methods and approaches for mathematical computing. Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives. Coach and nurture data stakeholders to maximize their potential and facilitate a culture of learning and growth, acting as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions. Demonstrate strong leadership and influence management skills, including the ability to challenge the status quo and manage key senior stakeholders. Use predictive analytics to inform PFMEA analyses that will result in actionable process controls, ensuring proactive prevention of variation rather than reactive correction. What You Bring Advanced degree in Engineering, Computer Science, Data Science, or a related field. 10-15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management). Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies. Fluency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets. Track record of driving measurable improvements in yield, reliability, or process robustness. Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.). Experience with applying AI/ML toolsets to statistical problem solving, predictive analytics, or anomaly detection. Experience coaching or mentoring technical teams to upskill in statistical methods and data-driven decision-making. Strong background in leveraging manufacturing data (metrology, vision systems, event logs, quality data) to build AI/ML-enabled solutions. Proven ability to drive organizational changes in data-driven transformations. Advanced skills in mathematical computing with at least one programming language (e.g., Python, R, Java, or equivalents), and the ability to learn technical methods and tools independently. Advanced skills in data visualization/presentation, including the ability to simplify results and statistical concepts into actionable insights. Excellent communication skills with the ability to engage at both executive and technical levels. Ability to convert complex, data-driven topics to clear overviews and insights. Proven ability to perform effectively in a demanding environment with changing workloads and deadlines. Growth mindset: believes in continuous learning and dedicates time, effort, and energy. Takes independent initiative to complete projects with a sense of urgency. Nice to Haves MBA or exposure to business, finance or economics. Fluency with continuous improvement / lean programs. Compensation Base salary is expected to be between $141,000 and $188,000 annually. Benefits Performance-based annual bonus eligibility. 401(k) retirement savings plan with generous company match. Tuition reimbursement for eligible education programs. Comprehensive medical, dental, and vision coverage with leading providers. Company-paid life and disability insurance. Generous paid time off (PTO) and company-paid holidays. Parental leave and family care support programs. Structured training programs and on-the-job learning opportunities. Matching gifts and volunteer programs. Eligibility Position may require U.S. citizenship, lawful permanent resident status, refugee status, or an export control license/exception. EEO Statement ZT Group Int'l. is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ZT Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Principal AI / Machine Learning Engineer Position at ZT Systems. About the Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT's roadmap for applying artificial intelligence and machine learning in manufacturing. The AI/ML Transformation Architect will be the pivotal role in shaping ZT's future state vision for AI & ML by identifying high impact use cases, preparing the organization structurally and technically for adoption, and driving successful implementation of applications. What You Will Do Lead or contribute to transformation initiatives, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement. Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations. Work with factory engineering, quality, and operations to identify, evaluate, and prioritize AI/ML use cases that deliver measurable business value. Collaborate across design, quality, manufacturing, test, and supplier engineering to drive solutions that integrate seamlessly into production. Define and implement new systems, processes, or frameworks that support the smart factory vision, including automation, metrology, advanced inspection, and predictive analytics. Define the organizational, data, and process changes required to prepare the business for AI/ML integration. Drive the design, development, and deployment of AI/ML solutions, ensuring successful adoption across factories. Apply AI/ML techniques to analyze manufacturing data sets - including metrology, vision inspection, event data, test results - conduct regression analysis, correlation studies, and commonality analysis. Leverage deep, data rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate insights that improve yield, reliability, and throughput. Apply advanced statistical and analytical methods (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments. Champion the cultural and operational transformation required for AI/ML success, including training and upskilling the industrial engineering team in new methods and approaches for mathematical computing. Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives. Coach and nurture data stakeholders to maximize their potential and facilitate a culture of learning and growth, acting as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions. Demonstrate strong leadership and influence management skills, including the ability to challenge the status quo and manage key senior stakeholders. Use predictive analytics to inform PFMEA analyses that will result in actionable process controls, ensuring proactive prevention of variation rather than reactive correction. What You Bring Advanced degree in Engineering, Computer Science, Data Science, or a related field. 10-15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management). Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies. Fluency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets. Track record of driving measurable improvements in yield, reliability, or process robustness. Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.). Experience with applying AI/ML toolsets to statistical problem solving, predictive analytics, or anomaly detection. Experience coaching or mentoring technical teams to upskill in statistical methods and data-driven decision-making. Strong background in leveraging manufacturing data (metrology, vision systems, event logs, quality data) to build AI/ML-enabled solutions. Proven ability to drive organizational changes in data-driven transformations. Advanced skills in mathematical computing with at least one programming language (e.g., Python, R, Java, or equivalents), and the ability to learn technical methods and tools independently. Advanced skills in data visualization/presentation, including the ability to simplify results and statistical concepts into actionable insights. Excellent communication skills with the ability to engage at both executive and technical levels. Ability to convert complex, data-driven topics to clear overviews and insights. Proven ability to perform effectively in a demanding environment with changing workloads and deadlines. Growth mindset: believes in continuous learning and dedicates time, effort, and energy. Takes independent initiative to complete projects with a sense of urgency. Nice to Haves MBA or exposure to business, finance or economics. Fluency with continuous improvement / lean programs. Compensation Base salary is expected to be between $141,000 and $188,000 annually. Benefits Performance-based annual bonus eligibility. 401(k) retirement savings plan with generous company match. Tuition reimbursement for eligible education programs. Comprehensive medical, dental, and vision coverage with leading providers. Company-paid life and disability insurance. Generous paid time off (PTO) and company-paid holidays. Parental leave and family care support programs. Structured training programs and on-the-job learning opportunities. Matching gifts and volunteer programs. Eligibility Position may require U.S. citizenship, lawful permanent resident status, refugee status, or an export control license/exception. EEO Statement ZT Group Int'l. is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ZT Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
ZT Systems
Secaucus, New Jersey
About The Role The Manufacturing Scheduling Analyst is responsible for managing a segment of the manufacturing operation schedule, coordinating with cross-functional teams to optimize processes and reports to ensure internal and external customer satisfaction. What You'll Do Utilize the SAP system to generate, analyze, and manage manufacturing schedule reports. Plan, schedule, and oversee material readiness and production progress to ensure the timely delivery of critical shipments to customers, including tracking progress via Jira and identifying/resolving product issues. Analyze FIFO (First-In, First-Out) inventory reports and collaborate with production teams to mitigate risks associated with aging inventory and potential excesses. Proactively escalate any potential committed schedule impacts (e.g., capacity constraints, supply risks, operational interruptions) to management with proposed solutions. Manage and expedite manufacturing progress-including build, test, repair, and packing phases-by strategically allocating resources to ensure schedules are met. Perform comprehensive data analysis of demand and supply trends, generating various status reports to drive manufacturing processes and managing inventory toward achieving key performance indicators (KPIs). Exercises judgment within defined procedures and practices to determine appropriate action. Coordinate with Engineering (ENG) and Information Technology (IT) teams to optimize tools and reporting mechanisms, enhancing process efficiency and overall operational performance. Perform other assigned duties as required. What You'll Bring Bachelor's degree in supply chain management, Industrial Engineering, Data Analytics, Business, Engineering, or a related field. (preferred) Relevant manufacturing operations management experience (preferred) Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word, Access/Database); and experience using enterprise systems such as SAP, SFC, WMS, Lean methodologies, or similar platforms. Leadership Skills: Ability to take ownership, share information transparently, and communicate effectively and appropriately across all audience levels. Cross-Functional Communication: Strong interpersonal and communication skills, vital for collaborating effectively across different departments. Time Management: Excellent ability to prioritize and schedule tasks efficiently to maximize productivity. Strong Analytical and problem-solving skills such as the ability to question, accurately identify a need, and present an effective solution. Compensation & Benefits Competitive base salary Performance-based annual bonus eligibility 401(k) retirement savings plan Tuition reimbursement for eligible education programs Comprehensive medical, dental, and vision coverage with access to leading providers Mental health resources and employee wellness support programs Company-paid life and disability insurance Paid time off (PTO) and company-paid holidays Parental leave and family care support programs Structured training programs and on-the-job learning opportunities Matching gifts and volunteer programs to support causes you care about These benefits are available to eligible employees and are designed to grow with you as your career evolves. Full benefits and eligibility varies by work location. Learn more about our benefits here. ZT Group Int'l. is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ZT Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please be aware that certain positions may require the applicant to either 1) be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or 2) be eligible to obtain an export control license or license exception from the Bureau of Industry and Security & U.S. Department of Commerce. All offers of employment will be conditional subject to the foregoing.
About The Role The Manufacturing Scheduling Analyst is responsible for managing a segment of the manufacturing operation schedule, coordinating with cross-functional teams to optimize processes and reports to ensure internal and external customer satisfaction. What You'll Do Utilize the SAP system to generate, analyze, and manage manufacturing schedule reports. Plan, schedule, and oversee material readiness and production progress to ensure the timely delivery of critical shipments to customers, including tracking progress via Jira and identifying/resolving product issues. Analyze FIFO (First-In, First-Out) inventory reports and collaborate with production teams to mitigate risks associated with aging inventory and potential excesses. Proactively escalate any potential committed schedule impacts (e.g., capacity constraints, supply risks, operational interruptions) to management with proposed solutions. Manage and expedite manufacturing progress-including build, test, repair, and packing phases-by strategically allocating resources to ensure schedules are met. Perform comprehensive data analysis of demand and supply trends, generating various status reports to drive manufacturing processes and managing inventory toward achieving key performance indicators (KPIs). Exercises judgment within defined procedures and practices to determine appropriate action. Coordinate with Engineering (ENG) and Information Technology (IT) teams to optimize tools and reporting mechanisms, enhancing process efficiency and overall operational performance. Perform other assigned duties as required. What You'll Bring Bachelor's degree in supply chain management, Industrial Engineering, Data Analytics, Business, Engineering, or a related field. (preferred) Relevant manufacturing operations management experience (preferred) Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word, Access/Database); and experience using enterprise systems such as SAP, SFC, WMS, Lean methodologies, or similar platforms. Leadership Skills: Ability to take ownership, share information transparently, and communicate effectively and appropriately across all audience levels. Cross-Functional Communication: Strong interpersonal and communication skills, vital for collaborating effectively across different departments. Time Management: Excellent ability to prioritize and schedule tasks efficiently to maximize productivity. Strong Analytical and problem-solving skills such as the ability to question, accurately identify a need, and present an effective solution. Compensation & Benefits Competitive base salary Performance-based annual bonus eligibility 401(k) retirement savings plan Tuition reimbursement for eligible education programs Comprehensive medical, dental, and vision coverage with access to leading providers Mental health resources and employee wellness support programs Company-paid life and disability insurance Paid time off (PTO) and company-paid holidays Parental leave and family care support programs Structured training programs and on-the-job learning opportunities Matching gifts and volunteer programs to support causes you care about These benefits are available to eligible employees and are designed to grow with you as your career evolves. Full benefits and eligibility varies by work location. Learn more about our benefits here. ZT Group Int'l. is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ZT Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please be aware that certain positions may require the applicant to either 1) be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or 2) be eligible to obtain an export control license or license exception from the Bureau of Industry and Security & U.S. Department of Commerce. All offers of employment will be conditional subject to the foregoing.