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Junior Machine Learning Engineer Jobs in Clinton, MS

Company Description Vergent LMS engineers a market-leading SaaS lending platform that empowers ... machine learning capabilities. With talented employees nationwide and offices in Ridgeland ...

Company Description Vergent LMS engineers a market-leading SaaS lending platform that empowers ... machine learning capabilities. With talented employees nationwide and offices in Ridgeland ...

You must coordinate heavy machinery, manage material orders, and guarantee the finished surface ... Yates Jr., we have steadily grown to become one of the top commercial and industrial construction ...

You must coordinate heavy machinery, manage material orders, and guarantee the finished surface ... Yates Jr., we have steadily grown to become one of the top commercial and industrial construction ...

... and maintaining heavy machinery used to produce hot mix asphalt. This involves servicing ... Yates Jr., we have steadily grown to become one of the top commercial and industrial construction ...

... and maintaining heavy machinery used to produce hot mix asphalt. This involves servicing ... Yates Jr., we have steadily grown to become one of the top commercial and industrial construction ...

Whether it be our health & wellness programs, best in class learning and development or our travel ... machinery. 11. Comply with attendance rules and be available to work on a regular basis. 12.

Showing results 21-40

Junior Machine Learning Engineer information

See Clinton, MS salary details

$29K

$62.2K

$94.8K

How much do junior machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for junior machine learning engineer in Clinton, MS is $62,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $69,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

Software Support Analyst

Vergent LMS

Ridgeland, MS

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


Job description

Company Description

Vergent LMS engineers a market-leading SaaS lending platform that empowers lenders to manage their retail and online lending operations through a sophisticated software suite featuring data-rich dashboards and enhanced analytical reporting, powered by its AI and machine learning capabilities. With talented employees nationwide and offices in Ridgeland, Mississippi and Plano, Texas, Vergent LMS is one of America’s fastest-growing privately held companies and has been listed on the Inc. 5000 list for seven years. From small business startups to enterprise-scale corporations, Vergent's innovative technology solutions power the lending operations of a diverse portfolio of clients located in the US, Canada, and Central America.

At Vergent LMS, we take our work seriously, but we don't take ourselves very seriously, with employee recognition, frequent company-supported events, and a company culture that is second to none. If you're passionate about what you do, but you want to be a part of a company that values it's employees and has built a culture around the concept of "work-life balance," then Vergent LMS is your career destination.

Introduction

As an Application Support Analyst, you will join a dedicated team of customer support professionals responsible for the initial review, troubleshooting and testing of all client support requests. This role requires the ability to provide critical, real-time analysis and problem-solving solutions to our software clients by asking applicable questions and retracing the steps and processes utilized by the customer to identify the potential cause of their reported problem. Once the problem is determined, the analyst may decide if collaboration with other quality assurance and software development teams is necessary to provide the optimal solution. Your responsibilities will include developing an intimate knowledge of the features, functionality, and security of our industry-leading loan management software in addition to maintaining an ongoing awareness of over 60+ external connections to vendor partner software products which expand our software's capabilities.

Essential Functions

  • Take ownership of incoming issues/requests from customers with a sense of urgency.
  • Must be capable of troubleshooting the cause of a reported problem by walking through the client's steps leading up to the problem, reproducing the reported problem within Vergent's software test environment, and finally, documenting (in detail) the steps taken, including the course of action taken to resolve the problem.
  • Must possess strong communication and critical thinking skills and be able to ask the correct questions necessary for testing a reported problem and providing a potential solution.
  • Must be willing and able to stay abreast of new company software and updates.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

Competencies

  • Ability to take initiative related to the software and its updates
  • Document configuration and editing experience
  • Proficiency in Adobe Acrobat
  • Strong time management skills
  • Intensive customer Focus
  • Problem Solving and Analysis
  • Product Knowledge
  • Quality Focus
  • Collaborative team building
  • Active Listening
  • Multi-tasking
  • Must be punctual and able to work the established hours
  • 2 or more years of experience as a software support analyst

Work Environment

This job operates in a casual office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Company Benefits

  • Employee Recognition Program
  • Flexible Schedules
  • Casual Dress Code
  • Health Insurance
  • Dental/Vision
  • Parental Leave
  • 401K & 401K Matching
  • Long-Term Disability (100% covered)
  • Life Insurance (100% covered)
  • Supplemental Insurance
  • Coffee and Snacks Provided