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Tensorflow Pytorch Jobs in Colorado (NOW HIRING)

... TensorFlow, PyTorch), and data pipelines. • Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI. • Familiarity with financial data structures ...

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 ...

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

... TensorFlow, PyTorch), and data pipelines. • Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI. • Familiarity with financial data structures ...

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines.Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative ...

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 ...

Machine learning libraries (Scikit-learn, TensorFlow, or PyTorch) * Cloud-based AI platforms (AWS, Databricks, or Snowflake) * Unstructured data processing for GenAI applications Visa sponsorship not ...

Responsibilities : • Strong Python development • FastAPI • ML libraries • ML frameworks • PyTorchTensorFlow • Scikitlearn • GenAI stack • OpenAI • Claude • LLaMA • Hugging ...

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Tensorflow Pytorch information

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?

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:

Infographic showing various Tensorflow Pytorch job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Senior Data Engineer | Denver, CO |Strong SQL, Python, Spark, AI/ML, Delta Lake & Big Data experienc

Denver, CO • On-site

Keylent
Internet and IT • 11 - 50 employees

Other

Posted 15 days ago


Job description

Senior Data Engineer | Denver, CO | Strong SQL, Python, Spark, AI/ML, Delta Lake & Big Data experience required

Job Title: Senior Data Engineer

Job Overview:

We are seeking a skilled professional with strong expertise in SQL, Python, Spark, and leading AI/ML frameworks to design and build scalable, intelligent data solutions. The ideal candidate will have hands-on experience with big data platforms and distributed data processing.

Key Responsibilities:

• Extensive experience in SQL and databases

• Develop and optimize scalable data pipelines using Apache Spark

• Build and deploy AI/ML models leveraging modern frameworks

• Work with large datasets using platforms like Delta Lake and other big data technologies

• Manage and integrate multiple databases for efficient data processing

• Collaborate with cross-functional teams to deliver data-driven solutions

Required Skills:

• Strong proficiency in SQL and Spark

• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or similar)

• Hands-on experience with big data platforms such as Delta Lake

• Solid understanding of distributed data processing and database management


Keylent logo

About Keylent

Sourced by ZipRecruiter

Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2010

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