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Entry Level Computer Vision Deep Learning Engineer Jobs in Saint Paul, AR

Tyson Foods

Lead Data Scientist

Springdale, AR · On-site

Data Engineering, including managing unstructured data ingestion,andstaging. Designing and deploying scalable RESTful web services to expose machine learning models to production. Computer Vision ...

Tyson Foods, Inc.

Lead Data Scientist

Springdale, AR · On-site

Data Engineering, including managing unstructured data ingestion, and staging. Designing and deploying scalable RESTful web services to expose machine learning models to production. Computer Vision ...

Olsson

CAD Technician - Geotech

Fayetteville, AR · On-site

We engineer and design solutions that improve the world around us. As a company, we promise to ... vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that ...

Olsson

CAD Technician - Geotech

Fayetteville, AR

We engineer and design solutions that improve the world around us. As a company, we promise to ... vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that ...

Keytronic

Associate Engineer (AR)

Springdale, AR · On-site

Medical, Dental, Vision, Life Insurance, Short and Long Term Disability, Vacation, Holidays ... Uses computer assisted engineering and design software and equipment to perform engineering tasks.

Walmart

(USA) Senior, Software Engineer

Goshen, AR · On-site

$90K - $180K/yr

... learning, and enhance CI/CD experiences. Combining platform engineering, distributed systems ... Health benefits include medical, vision and dental coverage. Financial benefits include 401(k) ...

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Entry Level Computer Vision Deep Learning Engineer information

See Saint Paul, AR salary details

$45.5K

$114K

$129K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for entry level computer vision deep learning engineer in Saint Paul, AR is $113,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $123,300.00 per year, depending on experience, location, and employer.

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.

What cities near Saint Paul, AR are hiring for Entry Level Computer Vision Deep Learning Engineer jobs?

Cities near Saint Paul, AR with the most Entry Level Computer Vision Deep Learning Engineer job openings:

Entry Level Computer Vision Deep Learning Engineer jobs near you

Lead Data Scientist

Springdale, AR • On-site

Tyson Foods
Food and Drink Manufacturing • 10K+ employees
Learn more about Tyson Foodsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Tyson Foods rating

6.4

Company rating: 6.4 out of 10

Based on 559 frontline employees who took The Breakroom Quiz

Job description

Job Details:

Tyson Foods, Inc. has an opening for Lead Data Scientist in Springdale, AR. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.Responsible for end-to-end testing, includingdeploymentsmoke tests and continuous monitoring. Co-own machine learning operations (MLOps) roadmap,supportand mentor teams in achieving milestones, showing leadership in artificial intelligence (AI) strategy and the practical application of model evaluation and validation. Responsible for scaling and cost-efficient model deployment, ensuring responsiveness and observability. Execute complex software testing practices, including end-to-end, integration, and smoke testing in machine learning pipelines. Scale model deployment with an emphasis on performance, cost, and observability, including model monitoring atappropriate cadences. Broaden data science lifecycle management, involving roadmaps with business outcomes verified by business and finance teams.Contribute to the design of reusable machine learningarchitectureassets and patterns.

Job requirements:

Requires aBachelor's degree or foreign equivalent in Computer Science, Mathematics,

Statistics, or a related field, and3years of experiencein the job offered or related occupation. Alternatively, the Employer will accept aMaster's degree or foreign equivalent in Computer Science, Mathematics, Statistics, or a related field and2years of experiencein the job offered or related occupation.

Experience must include at least2years of experience in each of the following:

Machine Learning, including binary classifiers using Scikit-LearnandTensorFlow. Data Engineering, including managing unstructured data ingestion,andstaging. Designing and deploying scalable RESTful web services to expose machine learning models to production. Computer Vision, including applied advanced image processing techniquesandobject segmentation. Distributed Systems, including architecting message queuing systems to handle asynchronous taskprocessing. Deployment and Version Control, including utilizing containerization and version control for software lifecycle management using Docker and Git.

Please submit resume online through this site.

Relocation Assistance Eligible:

No

Work Shift:

1ST SHIFT (United States of America)

Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.

Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.


The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.


Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.


We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.


If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice here.


Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

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