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GN Group

Machine Learning Engineer – Cloud

GN Group

Cloud AI/ML Engineer designing and deploying scalable machine learning models for GN's smart devices. Collaborating to enhance tools for frontline workers in a hybrid role from NH or MA.

Posted 4/30/2026full-timeDover • Massachusetts, New Hampshire • 🇺🇸 United StatesJuniorMid-Level💰 $86,000 - $135,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJavaPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Annual bonuses
  • Health insurance
  • 401(k) plan
  • Paid time off
  • Paid holidays

ATS Keywords

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Hard Skills & Tools
machine learningmodel deploymentmodel optimizationdata preprocessingdata analysisTensorFlowPyTorchScikit-learnPythonR
Soft Skills
collaborationcommunicationrisk managementstakeholder engagementproblem-solving