Applied Machine Learning - Software Engineer
Applied Machine Learning - Software Engineer
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Job Description
We are seeking a highly skilled engineer with expertise in machine learning to join our innovative team. In this role you will be responsible for cleaning preprocessing and analyzing simulation and measurement data to ensure its suitability for machine learning-based training. You will conduct research and apply machine learning methodologies to enhance antenna models improving their efficiency and performance.
In addition you will be involved in designing and developing applications for RFID readers and handheld reader devices running on Android and iOS. This includes robust user-friendly applications that communicate through various protocols such as Wi-Fi Bluetooth LTE NFC and UHF RFID.
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 to make 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 :
Qualifications:
Bachelors or Masters 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 :
Additional information
Who we are! - Our Story:
Each of us Every day! Eight Values. One Team!
We understand diversity and equal opportunities as enrichment for our future-oriented work at Avery Dennison. With us teams are balanced and diverse. Because each of us is unique and we appreciate bringing together different personalities and talents.
Avery Dennison is an equal-opportunity employer. You are interested in knowing more about our Diversity & Inclusion approach Please go to Avery Dennison we do what we love and we love what we do - Just click here and get us to know even better: Life @ Avery Dennison ( Work :
No
Employment Type :
Full-time
Employment Type
Full-time
