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Senior Machine Learning Engineer Jobs in Gunnison, CO

InfiCare

AI Specialist

Almont, CO · On-site

Programming: Python, R * ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn * Big Data ... AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks) * Databases: SQL, NoSQL

UseBlocky

Senior Blockchain Engineer

Almont, CO · On-site +1

$157K - $178K/yr

The company is committed to innovation, continuous learning, and creating impactful solutions that ... About the Role We are looking for a highly skilled Senior Blockchain Engineer to join our ...

Dredsoft Labs

Senior Blockchain Developer

Almont, CO

$70 - $80/hr

Senior Blockchain Developer in United States (Global) We are seeking a talented and experienced ... learning. Responsibilities: * Design and develop advanced blockchain applications and smart ...

CGI

Senior Salesforce Developer

Almont, CO · On-site

$125K - $154K/yr

We are looking for a Senior Salesforce Developer to support the development and implementation of ... Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Agile

Eliassen Group

Data Scientist

Almont, CO · On-site

$60 - $75/hr

Strong knowledge of programming languages focused on machine learning and advanced analytics, such as R, Python, and Scala. * Experience working with large datasets and relational databases.

CGI

AWS Java Full Stack Developer

Almont, CO · On-site

$52.75 - $68/hr

CGI is seeking a Senior Java AWS Technical Lead to lead complex application development and ... Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Amazon ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Gunnison, CO

Senior Machine Learning Engineer information

See Gunnison, CO salary details

$59.6K

$126.7K

$183.7K

How much do senior machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior machine learning engineer in Gunnison, CO is $126,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $143,700.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Gunnison, CO are hiring for Senior Machine Learning Engineer jobs?

Cities near Gunnison, CO with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Gunnison, CO as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $126,693 per year, or $60.9 per hour.

AI Specialist

InfiCare

Almont, CO • On-site

Other

Posted 29 days ago

Job description

Job Title: AI Specialist

Location: Pontiac, MI

Job Type: Contract

Required Skills

  • Programming: Python, R
  • ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
  • Big Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks
  • Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks)
  • Databases: SQL, NoSQL
  • Data Visualization: Tableau, PowerBI
 

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