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Tensorflow Pytorch Jobs in Colorado (NOW HIRING)

EchoStar

Senior Data Scientist

Littleton, CO

$141K/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

$117K - $141K/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 ...

EchoStar

Senior Data Scientist

Littleton, CO · On-site

$141K/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.

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.

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.

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 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
Senior Data Scientist

Senior Data Scientist

EchoStar

Littleton, CO

$141K/yr

Full-time

Posted 3 days ago

EchoStar rating

7.0

Company rating: 7.0 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

53rd of 79 rated telecommunications companies

Job description

Company Summary

DISH, an EchoStar Company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America’s First Smart Network™.

Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.


Department Summary

Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.


Job Duties and Responsibilities

Senior Data Scientist sought by DISH Wireless LLC in Littleton, Colorado. 

Responsible for designing, developing, and deploying advanced analytical models and AI-powered automation frameworks that optimize forecasting accuracy, streamline operations, and drive strategic business outcomes. Design and deploy time-series forecasting models using Prophet, ARIMA, and LSTM to predict weekly device sales and subscriber activations, enabling demand planning teams to reduce forecast variance. Leverage Snowflake Cortex and AWS Bedrock to build LLM-powered copilots that enable business analysts to query enterprise data in natural language, accelerating insight generation by reducing dependency on SQL and technical teams. Architect high-volume ETL pipelines using Databricks, processing terabytes of sales, shipment, and POS data daily for analytics and model training. 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. Build CI/CD automation for ML pipelines using GitLab, ensuring seamless deployment of updated models into production environments. Partner with business stakeholders to create interactive Tableau dashboards that visualize model outputs such as forecast accuracy, store segmentation, and churn probability.


Skills, Experience and Requirements

Requires: Bachelor’s degree (or foreign equivalent) in Management Information Systems, Computer Science, Computer Engineering, or closely related field plus 5 years of progressive post-baccalaureate experience in job offered or as Hadoop Developer, Commercial Quality Assurance, Graduate Assistant, and Big Data Hadoop Developer. Also requires 3 years of experience with/using the following (which may have been gained concurrently): 

  • Python, R, Scala, SQL, PySpark, TensorFlow, PyTorch, Keras, scikit-learn, MLflow, LangChain, XGBoost, LightGBM, CatBoost, and Prophet.
  • AWS (S3, EC2, Glue, Lambda, SageMaker, Bedrock), Snowflake, Databricks, and Dataiku. 
  • Spark, and GitLab CI/CD. 
  • Tableau, Snowflake Cortex, Google Apps Script 

Salary Ranges
Compensation: $141,649.06/Year - $141,649.06/Year
Benefits

Employment is contingent on successful completion of a pre-employment criminal background check, which may include a drug test.


Rate of Pay: $141,649.06


Benefits information available at  echostar.com.


Apply at careers.dish.com. Ref: 2026-98769 if applying externally through  echostar.com; Ref: 2026-98767 if applying internally. May also apply by emailing resume with (Ref: 2026-98769) to recruiting@dish.com. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Qualifications:

Requires: Bachelor’s degree (or foreign equivalent) in Management Information Systems, Computer Science, Computer Engineering, or closely related field plus 5 years of progressive post-baccalaureate experience in job offered or as Hadoop Developer, Commercial Quality Assurance, Graduate Assistant, and Big Data Hadoop Developer. Also requires 3 years of experience with/using the following (which may have been gained concurrently): 

  • Python, R, Scala, SQL, PySpark, TensorFlow, PyTorch, Keras, scikit-learn, MLflow, LangChain, XGBoost, LightGBM, CatBoost, and Prophet.
  • AWS (S3, EC2, Glue, Lambda, SageMaker, Bedrock), Snowflake, Databricks, and Dataiku. 
  • Spark, and GitLab CI/CD. 
  • Tableau, Snowflake Cortex, Google Apps Script 
Education:UNAVAILABLEEmployment Type: FULL_TIME

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