SME Engineer - Artificial Intelligence & Data Science
Szczecin 1 Kablowa, ZP, PL, 70-895
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build, validate and deploy machine learning and AI models for industrial use
Develop predictive and prescriptive analytics for quality, maintenance, yield and supply chain
Integrate AI models with MES, IIoT platforms, ERP systems and smart factory systems
Lead cross-regional AI projects into production environments
Mentor plant teams and junior data scientists on global AI best practices
From the employer’s posting
Design, build, validate, and deploy machine learning and AI models for industrial use cases
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
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Power BI
- Tableau
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
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 Your ideal background: 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) #jobsEMEAAK
About TE Connectivity
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this listing 129 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 18, 2026 · 129 days ago
- Recorded sightings
- 1,255
- Last seen by us
- Oct 26, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.te.com. The employer’s form will show what is required.
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Job description
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Why you should join
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
Your ideal background:
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)
#jobsEMEAAK
ABOUT TE CONNECTIVITY
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.
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
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.
Source details
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- Location & working pattern
Szczecin 1 Kablowa, ZP, PL, 70-895
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