Machine Learning Engineer - Cloud

Machine Learning Engineer - Cloud Turn up the volume on your career as Cloud AI/ML Engineer This is a hybrid role; candidates must reside within commutable distance of an office in Dover, NH or Lowell, MA. The team you will be part of We focus on developing the Jabra Perform and BlueParrott product lines aimed at improving tools for frontline workers. 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. Qualifications 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. Pay Transparency Notice Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00. In addition, you may be eligible for a discretionary bonus. Compensation for roles at GN depends on a wide array of factors including but not limited to location, role, skill set, and level of experience. To remain competitive, GN offers a competitive benefits package, including annual bonuses, health insurance, a 401(k) plan, paid time off and paid holidays. Inclusive Recruitment All applicants will receive equal consideration for employment. Disability Accommodation If you have a disability and you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail View email address on click.appcast.io. 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. 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. #J-18808-Ljbffr Dormont Manufacturing Co