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Sanmina Logo Sanmina · IT - Software Development

Principal AI / Machine Learning Engineer

United States, Secaucus Employment contract 141000.00 - 188000.00 USD / Year · Job Posted May 03, 2026
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Job Description

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.

Job Responsibility

  • 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
  • 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

Requirements

  • 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
  • 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)
  • Track record of driving measurable improvements in yield, reliability, or process robustness
  • Background in electronics assembly, PCBA, servers, or other high-reliability industries
  • 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)
  • Advanced skills in data visualization / presentation skills
  • Excellent communication skills with the ability to engage at both executive and technical levels
  • Ability to convert complex (often data driven) topics to clear overviews and insights
  • Proven ability to perform effectively in a demanding environment with changing workloads and deadlines
  • Growth mindset
  • Takes independent initiative to complete projects with a sense of urgency

Nice to have

  • MBA or exposure to business, finance or economics is advantageous
  • Fluency with continuous improvement / lean programs

What we offer

  • 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
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