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Entry Level Computer Vision Deep Learning Engineer Jobs in Black Hawk, CO

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

Design, develop, train, validate, deploy, and optimize machine learning and deep learning models ... Experience with Computer Vision, Image Processing, or Video Analytics. * Excellent analytical ...

AppFolio

Staff Machine Learning Engineer

Denver, CO

Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. * Cloud-native engineering: Strong Python, Docker, dependency management, and CI/CD ...

Slalom Consulting

General Information

Denver, CO · On-site

$120K - $145K/yr

Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI ... such as Computer Vision, NLP, Recommendation Systems, etc. * Stay updated on fundamental AI/ML ...

Boulder Imaging

Application Engineer

Louisville, CO · On-site

... accelerated learning • Background, Drug Testing required. Preferred : • Prior experience in computer vision and/or wind energy • Knowledge and understanding of system engineering process ...

Apple

Senior ML Software Engineer, Watch Software

Boulder, CO · On-site

$127K - $167K/yr

D. in Machine Learning, Computer Science, or a related field Solid knowledge of machine learning ... deep learning frameworks such as PyTorch or TensorFlow Experience with Swift or Objective-C and ...

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Entry Level Computer Vision Deep Learning Engineer information

See Black Hawk, CO salary details

$47.7K

$119.4K

$135.1K

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

As of Jul 30, 2026, the average yearly pay for entry level computer vision deep learning engineer in Black Hawk, CO is $119,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $129,200.00 per year, depending on experience, location, and employer.

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 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 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 Black Hawk, CO are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Black Hawk, CO with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Black Hawk, CO as of June 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $119,437 per year, or $57.4 per hour.

A.I. Engineer

Seneca Resources Company, LLC

Denver, CO • On-site

$70/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 4 days ago

Job description

Position Title:
AI Engineer (Machine Learning / LLMs / Agentic AI)
Location:
Merrifield, VA (Hybrid or Remote for Highly Qualified Candidates) (Remote in AK, CA, NJ, or PA)
Position Status:
Contract w2
Pay Rate:
$70/hr on w2
Position Description
We are seeking an experienced AI Engineer with deep expertise in Machine Learning, Large Language Models (LLMs), Agentic AI, Deep Learning, and Neural Networks to support innovative cybersecurity and emerging technology initiatives. This is an exciting opportunity to build next-generation AI solutions while working alongside data scientists, machine learning engineers, and software developers on cutting-edge projects.
The ideal candidate has a strong computer science foundation, hands-on experience developing production-ready machine learning models using TensorFlow and PyTorch, and a passion for researching and implementing emerging AI technologies.
Key Responsibilities
  • Design, develop, train, validate, deploy, and optimize machine learning and deep learning models.
  • Build scalable neural network solutions using TensorFlow and PyTorch.
  • Research, develop, fine-tune, and implement Large Language Models (LLMs) and Agentic AI frameworks.
  • Analyze large-scale structured and unstructured datasets to identify trends, patterns, and actionable insights.
  • Design AI-powered solutions for cybersecurity, automation, and emerging technology initiatives.
  • Review AI system architectures and data flows to identify security vulnerabilities and operational risks.
  • Conduct AI risk assessments throughout the entire AI lifecycle, including data security, model development, deployment, monitoring, and governance.
  • Collaborate with cross-functional teams including Data Engineers, Data Scientists, Machine Learning Engineers, Software Engineers, and Visualization teams.
  • Develop AI and data science solutions utilizing cloud infrastructure and modern ML platforms.
  • Optimize models for scalability, inference performance, and production deployment.
  • Evaluate emerging AI technologies and recommend innovative approaches to improve business capabilities.
  • Support ongoing model monitoring, maintenance, and continuous improvement.
Required Skills & Education
  • Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Physics, or a related technical discipline.
  • Strong experience developing machine learning and deep learning models from design through production deployment.
  • Hands-on experience with TensorFlow and/or PyTorch.
  • Experience with Large Language Models (LLMs), Generative AI, and Prompt Engineering.
  • Experience working with Agentic AI frameworks or willingness to quickly develop expertise.
  • Strong understanding of:
    • Machine Learning
    • Deep Learning
    • Statistical Modeling
    • Neural Networks
    • Model Validation and Monitoring
  • Experience with cloud computing platforms and distributed AI workloads.
  • Experience with Natural Language Processing (NLP), Natural Language Understanding (NLU), and Generative AI.
  • Experience with Computer Vision, Image Processing, or Video Analytics.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating effectively across multidisciplinary teams.
Preferred Qualifications
  • Experience performing AI Security and AI Safety assessments.
  • Knowledge of responsible AI governance and AI risk management.
  • Experience reviewing AI architectures and evaluating data security risks.
  • Experience deploying AI solutions in cybersecurity environments.
  • GPU optimization experience using C++, CUDA, or similar technologies.
  • Experience with MLOps, CI/CD pipelines, model automation, and production deployment.
  • Experience with reinforcement learning techniques.
  • Experience with speech recognition technologies.
  • Experience with Microsoft Azure AI and cloud services.
  • Familiarity with AI model monitoring, governance, and lifecycle management.
Why Join This Opportunity?
  • Work on cutting-edge AI and cybersecurity initiatives.
  • Collaborate with highly skilled AI researchers, engineers, and data scientists.
  • Develop innovative solutions using the latest advancements in Generative AI and Agentic AI.
  • Competitive hourly compensation.
  • Flexible hybrid/remote work options for qualified candidates.
  • Opportunity to influence enterprise AI strategy and emerging technologies.
About Seneca Resources
At Seneca Resources, we are more than just a staffing and consulting firm-we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path.
Our consultants and contractors enjoy:
  • Competitive compensation
  • Comprehensive medical, dental, and vision insurance
  • 401(k) retirement savings plan
  • Dedicated recruiter and consultant support throughout your engagement
  • Opportunities to work with leading organizations on impactful projects

Seneca Resources is proud to be an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We encourage all qualified applicants to apply regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.

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