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

TE Connectivity Corporation; Szczecin; Hybrid; PLN 240.000 - 360.000; Vollzeit

Benefits dieser Stelle

Life insurance

Private medical healthcare

Employee referral bonus

Multisport

Performance bonus

Training and career growth

Zusammenfassung

TE Connectivity seeks an experienced SME Engineer in AI/DS to shape AI across global manufacturing sites. You will design, deploy, and optimize ML solutions for quality, maintenance, yield, and supply chain, while leading cross-regional projects and mentoring teams in a fast-paced, hybrid work environment.

The role requires deep expertise in ML, Python, cloud platforms, and data visualization, with a strong manufacturing background and ability to translate business needs into scalable AI

Qualifikationen

• 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).

Aufgaben

• 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.

Kenntnisse

AI/ML experience

Python

SQL

Data visualization

Manufacturing domain

Cross-regional projects

Mentoring

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

Tableau

Jobbeschreibung

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:

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.

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