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Entry Level Computer Vision Deep Learning Engineer Jobs in Florence, CO

Zollege

Medical Assistant Instructor-Pueblo CO

Pueblo, CO · On-site

$22 - $26/hr

Evaluate individual/group performance and make any necessary adjustments to meet student learning ... Basic computer skills such as emailing, printing, scanning, troubleshooting, connecting to WiFi ...

Honeywell - AEROSPACE

R&D Technician II

Fountain, CO

$48K - $60K/yr

This role directly supports engineers in building prototypes, executing test procedures ... Excellent computer skills in Windows, Microsoft Office, and Adobe Photoshop (or equivalent) The ...

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Entry Level Computer Vision Deep Learning Engineer information

See Florence, CO salary details

$49.5K

$124.1K

$140.4K

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

As of Aug 21, 2026, the average yearly pay for entry level computer vision deep learning engineer in Florence, CO is $124,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $134,300.00 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 Florence, CO are hiring for Entry Level Computer Vision Deep Learning Engineer jobs?

Cities near Florence, CO with the most Entry Level Computer Vision Deep Learning Engineer job openings:

Entry Level Computer Vision Deep Learning Engineer jobs near you

Medical Assistant Instructor-Pueblo CO

Zollege

Pueblo, CO • On-site

$22 - $26/hr

Part-time

Re-posted 15 days ago

Job description

Description:

Full Job Description

Zollege is currently searching for a Part-Time Medical Assistant Instructor to join our team at Pueblo Medical Assistant School.


About Us:

At Zollege, we believe higher education should be focused on empowerment, not financial burden. We’ve helped students save over $1 billion in student loan debt.


Our programs are built for real-world success at a fraction of the cost—hands-on, career-focused training led by instructors who support you from your first class to your first job.


We're growing! We’re looking for experienced medical assistants who are passionate about mentorship and shaping the next generation of healthcare professionals. Apply as a Medical Assistant Instructor, today!


Job Summary:

In this role, you’ll inspire future healthcare professionals by combining your medical expertise with your ability to guide and mentor students through practical, hands-on education.


Instructor positions are part-time with classes held primarily on Saturdays between 7:30am - 6:30pm. (Note: teaching schedules may vary based on morning and/or afternoon class availability. Some locations may offer weekday evening classes).

Our focused, 18-week program is designed to provide accessible, hands-on education to students from all walks of life. Classes take place directly in a doctor’s office rather than in a traditional classroom—allowing students to learn in the environment they will eventually work in. Instructors will use their clinical experience and training to teach our students the skills they need to succeed as entry-level medical assistants.


Responsibilities:

  • Prepare for each class by reviewing the provided curriculum , which may utilize lab stations.
  • Demonstrate medical skills/procedures and assist students as they practice hands-on in the lab.
  • Evaluate individual/group performance and make any necessary adjustments to meet student learning needs.
  • Enforce classroom management and ensure adherence to safety precautions.
  • Ability to convey curriculum and pertinent skills via lecture and hands-on demonstrations.
Requirements:

Requirements:

  • High school diploma or GED
  • 5+ YEARS (including months) as a medical assistant or related employment
  • CMA, RMA, CCMA credentials
  • Current CPR/BLS certification
  • Basic computer skills such as emailing, printing, scanning, troubleshooting, connecting to WiFi, etc.
  • A passion for helping others achieve their personal goals
  • Strong communication skills
  • Ability to commute to location(s)

Job Type: Part-time, In-Person

Pay: $22.00 - $26.00 per hour, depending on experience.


Experience:

  • Medical Assisting: 5 years (Required)

License/Certification:

  • BC/BE (Preferred)
  • CPR Certification (Preferred)