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Tensorflow Pytorch Jobs in Colorado (NOW HIRING)

EchoStar

Senior Data Scientist

Littleton, CO · On-site

$141.65K/yr

Build deep learning-based forecasting models in TensorFlow and PyTorch to project device sales, accessories demand, and network activations, achieving improvement in accuracy over legacy methods.

EchoStar

Senior Data Scientist

Littleton, CO · On-site

$141.65K/yr

Build deep learning-based forecasting models in TensorFlow and PyTorch to project device sales, accessories demand, and network activations, achieving improvement in accuracy over legacy methods.

Octave

Sr. Data Engineer

Denver, CO

$117.90K - $141.50K/yr

Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn). * Ability to build production APIs and services, inclusive of MCP servers that expose ...

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 · 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 · 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 ...

Boost Mobile

Senior AI/ML Architect

Littleton, CO · On-site

$66 - $88.25/hr

... and libraries (TensorFlow, PyTorch, Scikit‑learn) and big data tools (Kafka, Spark, Hadoop) • Strong understanding of network protocols, OSS/BSS systems, and real‑time analytics • ...

GARGI TECHNOLOGIES INC

Data Scientist

Denver, CO

... Scikit-learn, TensorFlow, PyTorch, and Keras. 2. Strong understanding of statistics, probability, hypothesis testing, A/B testing, and core ML concepts including regression, classification ...

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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.

Senior Software Engineer I/II - AI Engineering

PSC by Rocket Lab

Littleton, CO • On-site

$120.20K - $158.40K/yr

Full-time

Posted 5 days ago

Job description

Job Summary:
Rocket Lab is an end-to-end space company delivering responsive launch services and spacecraft solutions. They are seeking a Senior Software Engineer I/II to develop AI-driven tools and applications, enhancing aerospace systems through innovative projects that leverage machine learning techniques.
Responsibilities:
• Build AI-driven applications and integrate Large Language Models (LLMs) to enhance simulation accuracy, decision-making, and automation.
• Develop and deploy machine learning models using frameworks like TensorFlow or PyTorch.
• Collaborate with cross-functional teams to identify opportunities for AI integration into aerospace systems.
• Optimize AI applications for performance, scalability, and reliability in large-scale simulations and data processing.
• Conduct research and development to apply LLMs for aerospace-specific use cases, such as simulation, predictive modeling, or automated system configuration.
• Participate in design reviews (e.g., PDR, CDR) and contribute to the refinement of system requirements and technical specifications.
• Conduct code reviews to ensure adherence to company coding standards and best practices.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
• 5+ years of professional experience in software development, with a focus on AI applications or machine learning.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and integrating ML models into software systems.
• Experience working with Large Language Models (LLMs) and AI applications for natural language processing, automation, or decision support.
• Proficiency in C#/.NET and Angular (or similar frontend frameworks like React or Vue).
• Strong understanding of relational databases (e.g., MySQL, SQL Server, SQLite).
• Solid grasp of object-oriented programming principles and design patterns.
• U.S citizenship is required, due to program requirements.
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
• 8+ years of professional experience in software development, with a focus on AI applications or machine learning.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and integrating ML models into software systems.
• Experience working with Large Language Models (LLMs) and AI applications for natural language processing, automation, or decision support.
• Proficiency in C#/.NET and Angular (or similar frontend frameworks like React or Vue).
• Strong understanding of relational databases (e.g., MySQL, SQL Server, SQLite).
• Solid grasp of object-oriented programming principles and design patterns.
• U.S citizenship is required, due to program requirements.
Preferred:
• Master's or PhD in Computer Science, Computer Engineering, or a related technical field.
• Experience with Docker/Kubernetes for containerization and orchestration.
• Knowledge of network programming (e.g., Sockets, WebSockets) for real-time data exchange.
• Familiarity with Git and modern version control workflows.
• Experience working in Agile/Scrum environments and contributing to iterative development cycles.
• Advanced knowledge of Angular NgRx or other state management libraries.
• Experience applying LLMs for aerospace-specific use cases, such as simulation, predictive modeling, or automated system configuration.
• Strong problem-solving skills and the ability to debug complex systems.
• A team-oriented mindset with excellent communication skills and a positive attitude.
Company:
Planetary Systems Corporation (PSC) by Rocket Lab is a Maryland-based aerospace hardware company delivering mechanical separation systems and satellite dispensers with 100% mission success. Founded in 1998, the company is headquartered in Silver Spring, USA, with a team of 11-50 employees. The company is currently Early Stage.

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