Machine Learning Engineer - Cloud

GN Group•Dover, NH

1d•Hybrid

About The Position

Machine Learning Engineer - Cloud Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell, MA. Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhances the senses of hearing and sight. We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts. The team you will be part of You will be joining our team focused on developing the Jabra Perform and BlueParrott product lines, aimed at improving tools for frontline workers. As part of the team, you will design and deliver machine learning models and cloud-based systems that power and enhance frontline worker devices. You will train, fine-tune, and optimize models for production grade performance, contributing to scalable and reliable ML services. You will help build and maintain the team’s end-to-end workflows: Developing data pipelines, generating datasets, creating evaluation frameworks, and implementing backend services that support our devices and applications. In this role, you will collaborate across disciplines to shape new features and bring impactful products to market. Your contribution is appreciated, and you will Design, build, and train scalable machine learning models and algorithms for cloud-based environments. Collect, preprocess, and analyze large and complex datasets to support model development and continuous refinement. Transition models from research to production, ensuring they are performant, maintainable, and ready to operate at scale. Deploy ML models into existing or newly developed backend services, integrating seamlessly with cloud infrastructure. Partner closely with engineers and product managers to deliver ML solutions that enhance and support our connected devices. Test, evaluate, and continuously monitor deployed models to ensure accuracy, robustness, and early detection of data drift or performance degradation. Build strong collaborative relationships with technical subject matter‑experts, stakeholders, and leadership across the organization. Identify, communicate, and manage technical risks throughout the project lifecycle to ensure smooth delivery. Sounds good so far? We encourage you to apply Even if you do not match all the above-mentioned skills, we will gladly receive your application if you think you have transferable skills. We greatly appreciate a mindset and motivation that aligns with our core values, helping both you and your team to thrive within the GN organization. We are focused on an inclusive recruitment process All applicants will receive equal consideration for employment. Disability Accommodation If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail [email protected]. This email is provided for the purpose of supporting applicants who have a disability that prevents them from being able to apply online. Only emails received for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response. Join us in bringing people closer GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss overcome real-life problems, improve communication and collaboration for businesses, and provide great experiences for audio and gaming users. GN Store Nord A/S has entered into a definitive agreement for the sale of GN’s Hearing business to Amplifon S.p.A. to create a global leader in audiology. For GN Group, this creates an opportunity to expand our position in the large audio and video peripherals markets. Read more about the announcement here. We hope you will join us on this journey and look forward to receiving your application. #LI-GNGroup GN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhance the senses of hearing and sight. We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts. GN was founded more than 150 years ago with a vision to connect the world. Today, inspired by our strong heritage, GN touches more lives than ever with the broadest portfolio of products and services in our history – fostering a sense of community, openness, and understanding. By listening to customers and combining our unique expertise in the human ear, audio, video, and speech, wireless technologies, software, and miniaturization, we transform what it takes to bring people closer to them. The GN-owned brands that are responsible for bringing these technologies to life: Medical grade hearing technology: ReSound, Beltone, Interton, Jabra Professional collaboration: Jabra, BlueParrott, FalCom Gaming, calls and media: SteelSeries, Jabra Founded in 1869, the GN Group employs 7,000 people and is listed on Nasdaq Copenhagen (GN.CO). GN’s solutions are sold in around 100 countries across the world. If you would like to learn more about us, visit our homepage gn.com or click on our different brands. You can also connect with us on LinkedIn, Facebook and Twitter.

Requirements

2+ years of experience in deploying and optimizing ML models in a production environment using cloud platforms like AWS, GCP, or Azure.
Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) with practical experience in designing and implementing ML models.
Proficiency in programming languages such as Python, R, Java, or C++ for developing and optimizing machine learning algorithms.
Familiarity with big data technologies and distributed computing frameworks for handling and processing large datasets.
Fundamentals of audio and speech signal processing.

Responsibilities

Design, build, and train scalable machine learning models and algorithms for cloud-based environments.
Collect, preprocess, and analyze large and complex datasets to support model development and continuous refinement.
Transition models from research to production, ensuring they are performant, maintainable, and ready to operate at scale.
Deploy ML models into existing or newly developed backend services, integrating seamlessly with cloud infrastructure.
Partner closely with engineers and product managers to deliver ML solutions that enhance and support our connected devices.
Test, evaluate, and continuously monitor deployed models to ensure accuracy, robustness, and early detection of data drift or performance degradation.
Build strong collaborative relationships with technical subject matter‑experts, stakeholders, and leadership across the organization.
Identify, communicate, and manage technical risks throughout the project lifecycle to ensure smooth delivery.