OnLogic is seeking a Machine Learning Engineer to design, develop, and deploy machine learning models and AI solutions to address complex problems and enhance their products and services, ultimately driving business value and enabling cutting-edge AI solutions.
Requirements
- Proficiency in machine learning and statistical methods and libraries including scikit-learn, opencv, huggingface, and pytorch.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying machine learning models.
- Experience with isolation techniques (docker, vagrant, venv,, etc) and understanding of container orchestration (e.g. docker-compose, kubernetes, etc).
- Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
- 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.
Responsibilities
- Develop, deploy, and maintain ML models in production using local and cloud resources.
- Determine feasibility for new ML projects that provide actual business value.
- Work with other members of the IT team and also business subject matter experts to integrate machine learning models into production systems.
- Monitor and evaluate the performance of machine learning models in production, ensuring reliability and scalability.
- Guide business process to support ML implementations and automation.
- Develop and implement custom solutions.
- Leverage and fine-tune foundational models and classic ML algorithms.
Other
- This full-time position will be located on site in South Burlington, VT or Cary, NC.
- Proven experience in machine learning model development and deployment, with a minimum of five (5) years of relevant work experience.
- 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.
- A self starter with the ability to work in a fast paced environment, thinking independently and acting proactively
