SME Engineer - Artificial Intelligence & Data Science (F/M/D)

TE Connectivity Corporation; Województwo zachodniopomorskie; Hybrid; PLN 300,000 - 540,000; Full time

Benefits offered by this job

Life insurance

Private medical healthcare

Employee referral bonus

Multisport co-financing

Performance-based bonus

Collaborative work environment

Career growth opportunities

Job summary

TE Connectivity is seeking an SME Engineer for Artificial Intelligence and Data Science to drive AI initiatives across global manufacturing networks. You will design and deploy production-ready ML solutions and mentor teams in a fast-paced industrial setting.

The role emphasizes industrial AI, IIoT integration, and cross-site collaboration, with a hybrid workplace in Szczecin area and opportunities to advance analytics leadership.

Qualifications

• 8+ years of experience in AI/DS 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).

Responsibilities

• 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.

Skills

AI & DS

ML & DL

Python

SQL

Statistical Modeling

Manufacturing processes

Industry 4.0

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

Power BI

Tableau

MES integration

IIoT platforms

Job description

SME Engineer - Artificial Intelligence & Data Science (F/M/D) Job Description Job Alerts Link Job Title: SME Engineer - Artificial Intelligence & Data Science (F/M/D)

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Description:

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)

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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:

• 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.

Job Locations:

PANATTONI PARK
SZCZECIN 1 KABLOWA, Zachodniopomorskie 70-895
Poland

Posting City: SZCZECIN 1 KABLOWA Job Country: Poland Travel Required: 10% to 25% Requisition ID: 154010 Workplace Type: Hybrid External Careers Page: Engineering & Technology