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Tensorflow Pytorch Jobs in Colorado (NOW HIRING)

Maximus

AI/ML Software Developer

Greeley, CO · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Gates

Product Development AI Engineer

Englewood, CO · On-site

$115K - $125K/yr

Strong proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Experience with data analysis, feature engineering, and model evaluation * Familiarity with ...

Maximus

AI/ML Software Developer

Denver, CO · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Maximus

AI/ML Software Developer

Colorado Springs, CO · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Maximus

AI/ML Software Developer

Thornton, CO · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Maximus

AI/ML Software Developer

Aurora, CO · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Maximus

AI/ML Software Developer

Fort Collins, CO · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

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Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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 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 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? For Tensorflow Pytorch jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Colorado look for? The top searched job categories for Tensorflow Pytorch jobs in Colorado are:
What cities in Colorado are hiring for Tensorflow Pytorch jobs? Cities in Colorado with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Colorado as of May 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

AI/ML Software Engineer

ASRC Federal Holding

Colorado Springs, CO • On-site

$78.29K - $133.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted just now

ASRC Federal rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

193rd of 351 rated engineering

Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
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

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

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