SME Engineer - Artificial Intelligence & Data Science

TE Connectivity,
United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Data Visualization Python (Programming Language) Machine Learning Power BI Tensorflow SQL Databases Tableau (Software) Pytorch Deep Learning
+1 more
Scikit Learn

Job description

You will play a key role in shaping how AI transforms global manufacturing operations across Europe, the Americas, and Asia. This is a rare opportunity to move beyond traditional data science and directly impact real industrial processes at scale. You will work at the intersection of advanced AI, smart factory systems, and business transformation, driving measurable operational excellence worldwide.

Your Daily Tasks

Act as global SME for AI and Data Science across multiple manufacturing sites

Design, build, validate, and deploy machine learning and AI models for industrial use cases

Identify and translate manufacturing challenges into scalable AI solutions with business stakeholders

Develop predictive and prescriptive analytics for quality, maintenance, yield, and supply chain optimization

Integrate AI models with MES, IIoT platforms, ERP systems, and smart factory ecosystems

Lead cross-regional AI projects and ensure successful deployment into production environments

Mentor plant teams and junior data scientists while promoting global AI best practices

Requirements

8+ years of experience in AI, Data Science, or advanced analytics in manufacturing or industrial environments

Strong expertise in machine learning, deep learning, and statistical modeling techniques

Proven experience delivering AI/ML solutions across multiple sites, regions, or global organizations

Solid understanding of manufacturing processes (e.g., stamping, molding, assembly, plating)

Experience with Industry 4.0, smart factory, or digital manufacturing initiatives

Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience working with cloud platforms (AWS or Azure) and data visualization tools (Power BI, Tableau)

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About the company

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

Our Commitment To Transparent Hiring

We are pleased to offer you an exciting total package that can also be flexibly adapted to your changing life situation - the well-being of our employees is our top priority!

  • Collaborative and friendly work environment
  • Extensive training and career growth opportunities
  • Life insurance
  • Private medical healthcare package
  • Employee referral bonus
  • Multisport co-financing
  • Performance-based bonus plans

Great hiring starts with honesty, and we mean it.

Our job postings are gender-neutral, inclusive, and never ask for your past salary. We disclose the full salary range and all pay elements, including how they are calculated, upfront - before any employment decisions are made.

At TE, we believe transparency isn’t a checkbox - it’s part of your experience with us., Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

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