Machine Learning Engineer


Location: South Burlington, VT

Type: Full Time

Education: Bachelor's Degree

Experience: 5 - 10 Years

We are seeking a talented and motivated Machine Learning Engineer that will play a critical role in designing, developing, and deploying machine learning models and AI solutions that address complex problems and enhance our products and services. You will work closely with data scientists, data engineers, and other stakeholders to enable cutting-edge AI solutions. You are responsible for deploying machine learning models and AI tools to drive business value. As OnLogic continues to grow quickly, your ownership of the data infrastructure will be integral to current and future decision making for all departments across the globe.


On an average day, you’ll…

  • Design and maintain pipelines for deploying and monitoring machine learning models.
  • Work closely with architects, data scientists, software engineers, and product managers to integrate machine learning models into production systems.
  • Monitor and evaluate the performance of machine learning models in production, ensuring reliability and scalability.Design support infrastructure and deploy machine learning models into production.
  • Implement SAAS machine learning models such as those available on Google Cloud Platform.
  • Design, build, and optimize machine learning models to solve business problems and improve existing AI solutions.
  • Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
  • Implement and test state-of-the-art machine learning algorithms and techniques to develop robust AI models.
  • Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to ongoing projects.
  • Document model development processes, experiment results, and performance metrics to ensure transparency and reproducibility.
  • Contribute to the development of new AI-powered features and products, identifying opportunities for innovation within the company.


The team you will be joining:

  • IT/Software: Our IT team touches every aspect of our business and each of our day to day lives here at OnLogic. Made up of software developers, data scientists, architects, infrastructure and security experts, systems and network engineers as well as business technology professionals, our IT team is constantly working to improve our internal systems and enable cutting-edge solutions to make our lives easier, while optimizing our website to do the same for our customers. From the technology we use to do our jobs, to the infrastructure that supports the way we build, test and ship our products, our IT team keeps our business running smoothly.



  • You have a Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a similar technical or business field or equivalent experience.
  • Proven experience in machine learning model development and deployment, with a minimum of five (5) years of relevant work experience..
  • Proficiency in programming languages such as Python, R, or Java, with strong knowledge of machine learning libraries
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying machine learning models.
  • Familiarity with natural language processing (NLP) and computer vision techniques.
  • Deep understanding of various machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques.
  • Analytical Skills: Strong problem-solving skills and the ability to analyze complex datasets to derive actionable insights.
  • Ability to work in the U.S. without visa sponsorship


Who we’re looking for:

  • A self starter with the ability to work in a fast paced environment, thinking independently and acting proactively
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to work effectively in a collaborative, fast-paced environment and manage multiple projects simultaneously.

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