Machine Learning Engineer - Cloud

Machine Learning Engineer – Cloud

Hybrid role: candidates must live within commutable distance of either Dover, NH or Lowell, MA.

Design and deliver machine learning models and cloud-based systems that power frontline worker devices. Support end‑to‑end workflows, from data pipelines and dataset generation to evaluation frameworks and backend services.

• Design, build, and train scalable machine learning models for cloud 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 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.

• 2+ years of experience deploying and optimizing ML models in a production environment using cloud platforms (AWS, GCP, or Azure).
• Proficiency in ML frameworks such as Tensor Flow, PyTorch, or Scikit‑learn, and practical experience designing and implementing ML models.
• Programming skills in 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.

Target annual salary range: $86,000 – $135,000. Eligible for a discretionary bonus. Compensation varies by location, role, skill set, and experience level.

• Health insurance
• 401(k) plan
• Paid time off and paid holidays
• Annual bonuses

All applicants will receive equal consideration for employment. GN is an inclusive employer that values diversity and seeks candidates who share its core values.