Applied Machine Learning - Software Engineer

myGwork - LGBTQ+ Business Community; Tampere; On-site; EUR 60 000 - 80 000; Full time

Job summary

A global materials science firm in Finland is seeking a skilled engineer with expertise in machine learning. The role involves cleaning and analyzing data, developing applications for RFID readers, and improving antenna models. Candidates should have a degree in a relevant field and experience in mobile application development. Join a diverse team committed to inclusion and innovation.

Qualifications

• Strong understanding of machine learning concepts and algorithms.
• Hands-on experience with cleaning and analyzing data.
• 3–5 years of relevant work experience required.

Responsibilities

• Clean, preprocess, and analyze simulation and measurement data for machine learning.
• Design and develop mobile applications for Android and iOS.
• Collaborate with cross-functional teams to refine system requirements.

Skills

Machine learning

Data preprocessing

Mobile application development

Communication protocols

Python

C#

Java

Swift

Kotlin

Education

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field

Tools

Machine learning frameworks

SDKs

APIs

Job description

Overview

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We design and develop labeling and functional materials, RFID inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information to improve the customer experience. We employ approximately 35,000 employees in more than 50 countries, with 2024 sales of $8.8 billion. This role is for a highly skilled engineer with expertise in machine learning to join our team. The engineer will clean, preprocess, and analyze simulation and measurement data for machine learning-based training and will conduct research to apply machine learning methodologies to improve antenna models for efficiency and performance.
We are also involved in designing and developing applications for RFID readers and handheld reader devices running on Android and iOS, including communication through protocols such as Wi-Fi, Bluetooth, LTE, NFC, and UHF RFID. We strive to support reasonable accommodations throughout the application process by contacting our Talent Acquisition team via [e-mail].

Responsibilities

• Clean, preprocess, and analyze simulation and measurement data for machine learning applications.
• Ensure the data is prepared and suitable for machine learning-based training.
• Conduct research and apply machine learning methodologies to improve antenna models, making them more efficient and effective.
• Design and develop mobile applications for Android and iOS platforms.
• Develop software solutions for RFID readers and handheld reader devices.
• Establish communication with gateways using protocols such as Wi-Fi, Bluetooth, LTE, NFC, and UHF RFID.
• Work with SDKs and APIs to integrate hardware and software components.
• Utilize pre-built libraries for device communication.
• Implement intuitive user interfaces for data visualization and interaction.
• Collaborate with cross-functional teams to define and refine system requirements.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field
• Strong understanding of fundamental machine learning concepts and algorithms
• Hands-on experience with cleaning, preprocessing, and analyzing data
• Experience with machine learning frameworks and Python tools
• Proficiency in at least two of the following: Python, C#, Java, Swift, Kotlin
• Experience developing mobile applications on Android and/or iOS
• Understanding of communication protocols: Wi-Fi, Bluetooth, LTE, NFC, UHF RFID
• Hands-on experience with SDKs and APIs
• Proficiency in English
• 3–5 years of relevant work experience

Preferred Qualifications

• Experience in modifying firmware for IC modules using appropriate communication protocols to meet application-specific requirements
• Experience with CAD tools is a plus
• Knowledge of the basics of RF Engineering
• Basic understanding of RFID technology

Additional Information

Avery Dennison is an equal-opportunity employer. We value diversity and inclusion as strengths and are committed to creating an inclusive workplace for all employees. For more information about our diversity and inclusion approach, please visit our site.