Machine Learning Engineer (Cloud)

TL;DR

Machine Learning Engineer (Cloud): Desihirify.globaling and delivering machine learning models and cloud-based systems for frontline worker devices with an accent on production-grade performance and scalable ML services. Focus on building end-to-end data pipelines, optimizing model deployment, and integrating AI solutions into connected hardware.

Location: Must reside within a commutable distance of Dover, NH, or Lowell, MA (Hybrid role)

Salary: $86,000–$135,000

Company

hirify.global provides advanced intelligent hearing, audio, video, and gaming solutions desihirify.globaled to enhance human senses and improve communication.

What you will do

• Desihirify.global, build, and train scalable machine learning models for cloud environments.
• Collect, preprocess, and analyze complex datasets to support model development.
• Transition models from research to production, ensuring scalability and maintainability.
• Deploy ML models into backend services and integrate with cloud infrastructure.
• Collaborate with engineers and product managers to deliver impactful ML features.
• Monitor deployed models to ensure accuracy and detect performance degradation.

Requirements

• Must reside within a commutable distance of Dover, NH, or Lowell, MA
• 2+ years of experience in deploying and optimizing ML models in production using AWS, GCP, or Azure.
• Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong programming skills in Python, R, Java, or C++.
• Familiarity with big data technologies and distributed computing.
• Understanding of audio and speech sihirify.globalal processing fundamentals.

Culture & Benefits

• Competitive salary with discretionary bonus eligibility.
• Comprehensive benefits package including health insurance and 401(k) plan.
• Paid time off and paid holidays.
• Focus on innovation and inclusive work environment.
• Opportunity to work on advanced audio and communication technology.