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Internship Machine Learning Consultant Jobs in Colorado

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... We are a growing small business and a trusted federal contractor offering full scope consulting ...

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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Internship Machine Learning Consultant information

What is the difference between Internship Machine Learning Consultant vs Data Analyst Intern?

AspectInternship Machine Learning ConsultantData Analyst Intern
Required CredentialsBasic knowledge of machine learning, programming skills (Python, R)Basic data analysis, Excel, SQL skills
Work EnvironmentCollaborative teams, project-based tasks in tech or consulting firmsData-focused tasks in various industries, reporting and visualization
Employer & Industry UsageTech companies, consulting firms, startupsBusiness, finance, healthcare, retail sectors
Search & Comparison IntentUnderstanding roles related to machine learning internshipsExploring data analysis internship opportunities

The Internship Machine Learning Consultant typically involves working on machine learning projects, requiring programming and basic ML knowledge, often in tech or consulting environments. In contrast, a Data Analyst Intern focuses on data reporting, visualization, and analysis across various industries. Both roles serve as entry points into data-driven careers but differ in technical focus and industry application.

What cities in Colorado are hiring for Internship Machine Learning Consultant jobs? Cities in Colorado with the most Internship Machine Learning Consultant job openings:
Internship Machine Learning Consultant jobs near you

Machine Learning Engineer

nou Systems, Inc.

Colorado Springs, CO • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
nou Systems, Inc. is a 100% ESOP company focused on solving challenging defense problems. They are seeking a Machine Learning Engineer to design, develop, and deploy machine learning capabilities for defense applications, collaborating with teams to transition ML concepts into practical solutions.
Responsibilities:
• Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
• Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
• Help identify, prepare, and validate training and evaluation datasets.
• Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
• Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
• Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
• Communicate technical results clearly through written documentation, presentations, and team discussions.
• Support multiple project teams and help translate ML concepts into practical engineering solutions.
Qualifications:
Required:
• Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.
• 3+ years of professional experience in machine learning, data science, or backend software development.
• Hands-on experience developing, training, or evaluating deep learning models using PyTorch.
• Professional experience building backend software, data pipelines, APIs, or system integration components.
• U.S. citizenship and the ability to obtain a Secret security clearance.
Preferred:
• Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.
• Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)
• Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.
• Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.
• Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)
• Experience with RL development using Gymnasium and Ray RLlib.
• Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.
• Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.
Company:
no Systems is a consultant offering engineering and technical services to the government in Huntsville, Alabama. Founded in 2011, the company is headquartered in Huntsville, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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