Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

OnLogic, Inc. Machine Learning Engineer in South Burlington, Vermont

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.

  • Learn more about Life at OnLogic (https://static.onlogic.com/resources/company/Life_at_Onlogic_v3-7.pdf)

Requirements

  • 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

  • Satisfactory completion of a background check

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.

Who we are:

OnLogic is growing, and we want to give you the same opportunity to grow in your career! We design and manufacture specialized computers and hardware solutions for companies all over the world, helping them to make the seemingly impossible possible. Our computers are designed to work where others would fail, and it's our vision to be the first choice in industrial computing. To make that vision a reality, we've built a team of ambitious problem solvers, guided by the company's core values of Open, Fair, Innovative and Independent. We have an open office, open salaries and strive to be fair and transparent in our decision making. We encourage input and feedback from every member of our team and look to improve ourselves and our business every single day.

OnLogic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

  • To learn more about our values, our mission and what it's like to work at OnLogic, visit www.onlogic.com/careers.

Benefits

The salary range for this role is $95,000 to $135,000. We determine final compensation based on discussions with applicants and their experience in similar roles.

  • A competitive Salary based upon your experience and the requirements of the role

  • A comprehensive Benefits package

  • 401k Plan with 3% Employer Contribution

  • An Annual Profit Share Bonus

  • Paid Maternity & Paternity Leave, and Short & Long Term Disability

  • Opportunity to Participate in our Employee Stock Purchase Plan

  • A personal development plan created to help you (and us) grow

#LI-CH1 #LI-Onsite

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