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Summer Artificial Intelligence Machine Learning Jobs in Colorado

STI

Artificial Intelligence ("AI") Architect

Denver, CO · On-site +1

Bachelor's degree in computer science, data science, or a related field. * 5+ years of experience in the field of artificial intelligence, including experience with machine learning, deep learning ...

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

$110 - $160/hr

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Cymertek

AI/ML Engineer

Aurora, CO · On-site

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Judge Group, Inc.

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

... Artificial Intelligence and Machine Learning initiatives. This individual will drive innovation across autonomy, perception, analytics, and generative AI domains while establishing scalable AI/ML ...

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

About the Opportunity: We are seeking an experienced Artificial Intelligence Engineer who ... Proficiency in Python and familiarity with deep learning/NLP libraries * Experience with building ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

Master's degree in Artificial Intelligence, Machine Learning, or related field. Experience with reinforcement learning or generative AI models (e.g., GANs, Transformers). * Working knowledge of Agile ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

Master's degree in Artificial Intelligence, Machine Learning, or related field. Experience with reinforcement learning or generative AI models (e.g., GANs, Transformers). * Working knowledge of Agile ...

Deloitte

Oracle Gen AI Manager

Denver, CO · On-site

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Deloitte

Oracle Gen AI Manager

Colorado Springs, CO · On-site

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

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All JobsSummer Artificial Intelligence Machine Learning JobsSummer Artificial Intelligence Machine Learning Jobs in Colorado

Summer Artificial Intelligence Machine Learning information

What is a Summer Artificial Intelligence Machine Learning?

A Summer Artificial Intelligence (AI) Machine Learning (ML) job is a temporary internship or position, typically offered to students or recent graduates during the summer months, that focuses on working with AI and ML technologies. In these roles, participants gain hands-on experience by collaborating on projects involving data analysis, developing machine learning models, and implementing AI algorithms. These positions are designed to help individuals build practical skills, expand their technical knowledge, and explore potential career paths in the rapidly growing field of AI and ML.

What types of projects can I expect to work on during a Summer Artificial Intelligence Machine Learning internship?

As a Summer Artificial Intelligence Machine Learning intern, you can expect to contribute to projects involving data preprocessing, model training, and evaluation under the guidance of experienced mentors. Typical tasks may include developing and testing new algorithms, analyzing large datasets, and supporting the deployment of machine learning models. You'll often collaborate closely with data scientists, software engineers, and other interns, gaining exposure to real-world AI challenges and industry-standard tools. This hands-on experience not only builds technical skills but also improves teamwork and communication abilities, laying a strong foundation for a future career in AI and ML.

What are the key skills and qualifications needed to thrive as a Summer Artificial Intelligence Machine Learning intern, and why are they important?

To thrive as a Summer Artificial Intelligence Machine Learning intern, you need a solid background in mathematics, statistics, and programming (often Python), typically supported by coursework or projects in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is commonly expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively within diverse teams are valuable soft skills for this role. These competencies are crucial for successfully developing, implementing, and refining AI models in a fast-paced, innovation-driven environment.

What is the difference between Summer Artificial Intelligence Machine Learning vs Summer Data Science?

AspectSummer Artificial Intelligence Machine LearningSummer Data Science
Required CredentialsBachelor's or Master's in CS, AI, ML, or related fieldsBachelor's or Master's in CS, Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, startupsData analysis teams, consulting firms, tech companies
Industry UsageDeveloping AI models, ML algorithms, automationData analysis, visualization, business insights
Common Search/ComparisonYesYes

Summer Artificial Intelligence Machine Learning focuses on developing AI systems and algorithms, often involving programming and model training. Summer Data Science emphasizes analyzing and interpreting data to generate insights. While both roles require strong technical skills and similar educational backgrounds, AI/ML roles are more research and development-oriented, whereas Data Science roles focus on data analysis and visualization.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Colorado?

The most popular types of Artificial Intelligence Machine Learning jobs in Colorado are:

What are popular job titles related to Summer Artificial Intelligence Machine Learning jobs in Colorado?

For Summer Artificial Intelligence Machine Learning jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Summer Artificial Intelligence Machine Learning jobs in Colorado look for?

The top searched job categories for Summer Artificial Intelligence Machine Learning jobs in Colorado are:

Summer Artificial Intelligence Machine Learning jobs near you
Infographic showing various Summer Artificial Intelligence Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Artificial Intelligence ("AI") Architect

STI

Denver, CO • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

Description:
The AI Program Manager will be a key member of the Chief Data Office team, responsible for driving the strategy and execution of an AI framework within the state government. This role will require a unique blend of technical expertise, strategic vision, and leadership skills, including a close collaboration with OIT resources and agency stakeholders across various state departments to develop product roadmaps, govern AI use cases and ensure alignment with the broader state strategy serving Colorado residents. This role will lead the development and implementation of a comprehensive AI framework for the State, ensuring responsible and beneficial use of AI across government agencies.
Responsibilities:
The Chief Data Office (CDO) is seeking a skilled and motivated AI Lead role to spearhead the State of Colorado's efforts in adopting and implementing artificial intelligence across government agencies. This role requires a unique blend of technical expertise, collaborative leadership and ability to drive program details. The AI Lead will be responsible for guiding the development and execution of AI initiatives, ensuring responsible use, fostering innovation, and maximizing the benefits of AI for Colorado residents.
AI Strategy and Implementation
  • Define and champion the vision, strategy and roadmap for AI adoption across state government, aligning with key priorities for Colorado residents
  • Collaborate with agency stakeholders and OIT resources to identify and prioritize AI opportunities that improve efficiency, service delivery, and citizen engagement.

AI Product and Technology Leadership
  • Collaborate with agency stakeholders and product managers to guide the development and deployment of AI solutions.
  • Provide expert advice and support to agencies on AI-related matters, including technology selection, data governance, and responsible AI practices.
  • Stay abreast of advancements in AI technologies, including GenAI, and provide guidance on their responsible application within government.

AI Governance and Compliance
  • Establish and enforce clear processes for AI project assessment, approval, testing, and monitoring to ensure alignment with state objectives and responsible AI principles.
  • Ensure compliance with relevant state and federal laws, regulations, and policies related to AI development and deployment.
  • Contribute to the development and refinement of AI-related policies and regulations to address emerging challenges and opportunities.
  • Proactively identify and mitigate potential biases and risks associated with AI systems to ensure fairness, equity, and accountability.
  • This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.

GenAI Expertise:
  • Stay abreast of advancements in GenAI applications and techniques.
  • Understand the cost, data constraints, and potential biases associated with GenAI development and their influence on AI product development.
  • Assist engineers in evaluating GenAI solutions and vendors to ensure they meet the state's requirements for ethical AI and responsible use.

Stakeholder Engagement and Communication:
  • Build and maintain strong relationships with key stakeholders including agency leaders, service owners, technology experts, legal counsel, 3rd party vendors, and community representatives.
  • Facilitate cross-agency collaboration and knowledge sharing on AI initiatives.
  • Raise awareness of AI's potential benefits and risks within the state government.
  • Support training and education on AI products and responsible AI practices.

Champion Responsible AI:
  • Champion responsible AI development and deployment practices across state agencies.
  • Promote transparency and accountability in AI product development and deployment.
  • Reinforce human oversight of AI initiatives to maintain ethical and responsible use.

Attention to Detail:
  • This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.
  • The AI Lead must be able to identify and address potential risks and inconsistencies in AI systems, data, and documentation to ensure accuracy, compliance, and ethical considerations are met.

Qualifications:
  • Education and Experience:
    Bachelor's degree in computer science, data science, or a related field.
    • 5+ years of experience in the field of artificial intelligence, including experience with machine learning, deep learning, natural language processing, and computer vision.
    • 5+ years of experience in a leadership role, with proven ability to develop and implement strategic initiatives.
    • Demonstrated experience in defining product vision, strategy, and roadmaps.
    • Experience in working with cross-functional teams, including engineers, data scientists, and business stakeholders.
    • Experience in product/program management, with a focus on technology or AI-driven products.
    • Experience working in the public sector or with government agencies is highly desirable.

  • Skills and Knowledge:
    • Deep understanding of AI use cases, technologies, ethical considerations, and policy implications.
    • Strong strategic & critical thinking and planning skills.
    • Attention to detail.
    • Strong technical and business communication skills, with the ability to translate complex technical concepts to non-technical audiences.
    • Excellent communication, interpersonal, and presentation skills.
    • Ability to build consensus and collaborate effectively with diverse stakeholders.
    • Knowledge of data governance, security, and privacy best practices.
    • Familiarity with relevant state and federal laws and regulations.
    • Understanding of responsible AI development principles, including fairness, transparency, and accountability.
    • Awareness of cost, and data constraints for GenAI development and their influence on AI product development.
    • Grant proposal development.

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