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Tensorflow Pytorch Jobs in Colorado Springs, CO (NOW HIRING)

asrcfh

AI/ML Software Engineer

Colorado Springs, CO · On-site

Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras * Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO

Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras * Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI ...

Cisco

Applied AI Scientist

Colorado Springs, CO · On-site

... PyTorch, TensorFlow) * 1+ year experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with graph representation learning, graph transformers (e.g ...

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Colorado Springs, CO

Tensorflow Pytorch information

See Colorado Springs, CO salary details

$37K

$121K

$193.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 27, 2026, the average yearly pay for tensorflow pytorch in Colorado Springs, CO is $120,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $134,000.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Colorado Springs, CO?

For Tensorflow Pytorch jobs in Colorado Springs, CO, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Colorado Springs, CO look for?

The top searched job categories for Tensorflow Pytorch jobs in Colorado Springs, CO are:

What cities near Colorado Springs, CO are hiring for Tensorflow Pytorch jobs?

Cities near Colorado Springs, CO with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Colorado Springs, CO as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $120,958 per year, or $58.2 per hour.

AI/ML Software Engineer

asrcfh

Colorado Springs, CO • On-site

Full-time

Re-posted 28 days ago

ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

243rd of 450 rated engineering

Job description

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking highly motivated Software Engineers to join our team as an AI Engineer at Schriever Space Force Base, in Colorado Springs, CO.

This exciting career opportunity is responsible for the development and delivery of high-fidelity threat missile modeling and missile defense software products in support of the Missile Defense Agency (MDA) and MDA’s Missile Defense System (MDS).

Basic Qualifications:

  • Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 2 years of relevant experience, or 0 years’ experience with a Maters’ Degree
  • Must have an active U.S. Government DoD Secret security clearance at time of application
  • Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning
  • Experience with programming in Python, R, or other relevant languages
  • Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
  • Experience with Large Language Models/Generative AI and Prompt Engineering.  Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development
  • Familiarity with Linux operating systems.

Preferred Qualifications:

  • Experience in Engineering and Aerospace
  • Familiarity with MLOps and deploying models at scale.
  • Familiarity with A/B testing and other methods for evaluating the performance of AI/ML models
  • Familiarity with cloud computing platforms such as AWS, Azure, or GCP
  • Familiarity with DevOps practices and tools
  • Experience working with sensitive data and adhering to data privacy regulations
  • Experience in Modeling and Simulation
  • Knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles
  • Knowledge of engineering modeling principles behind body motion, trajectory analysis, counter measures, debris, and signature modeling
  • Background with missile system models, atmospheric dynamics, and performance
  • Experience in Agile software development methodologies including Scrum and Kanban

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