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Internship Edge Ai Machine Learning Jobs in Minnesota

Onsights

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and ... on edge or resource-limited compute systems • Experience with Explainable/Auditable AI/ML tools ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

We seek to advance AI, CV, and other related fields through research and development and ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

We seek to advance AI, CV, and other related fields through research and development and ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

We seek to advance AI, CV, and other related fields through research and development and ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

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Internship Edge Ai Machine Learning information

What is an internship edge AI machine learning?

Internship Edge AI Machine Learning positions are entry-level roles designed for students or recent graduates who want hands-on experience working with artificial intelligence and machine learning technologies, especially those related to 'edge' computing. These internships focus on developing, optimizing, and deploying AI/ML models that run on edge devices such as smartphones, IoT devices, and embedded systems, rather than in the cloud. Interns typically assist in research, data preparation, model training, and software development while gaining industry-relevant skills. These roles are ideal for individuals interested in both hardware and software aspects of AI. The experience gained can be valuable for future careers in data science, machine learning engineering, or AI research.

What are the key skills and qualifications needed to thrive as an internship edge AI machine learning professional, and why are they important?

To thrive in an Internship Edge AI Machine Learning role, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by coursework or relevant projects. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud or edge computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you adapt and contribute meaningfully in collaborative research and development environments. These competencies are crucial for innovating and deploying machine learning models on edge devices, ensuring impactful real-world AI solutions.

What is the difference between Internship Edge Ai Machine Learning vs Data Analyst?

AspectInternship Edge Ai Machine LearningData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentInternship setting, collaborative teams, research-focusedOffice environment, data-driven decision-making teams
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, healthcare, marketing sectors

Internship Edge Ai Machine Learning roles typically focus on foundational skills in AI and machine learning, often as entry-level or internship positions. Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve working with data, AI internships emphasize machine learning models, whereas Data Analysts focus on data interpretation and reporting.

What types of projects can I expect to work on during an internship in edge AI and machine learning?

As an intern in Edge AI and Machine Learning, you will likely work on projects that involve developing and optimizing machine learning models for deployment on edge devices such as smartphones, IoT sensors, or embedded systems. Typical tasks include data preprocessing, model training and evaluation, and implementing algorithms with resource constraints in mind. You may also collaborate with hardware engineers and software developers to ensure that your solutions run efficiently on limited hardware. This hands-on experience provides a strong foundation for understanding real-world AI deployment challenges and can open doors to more advanced roles in the future.
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Internship Edge Ai Machine Learning jobs near you

Data Science, AI & Analytics Lead with Security Clearance

Forward Edge AI, Inc

Saint Paul, MN • On-site

Other

Re-posted 21 days ago

Job description

Data Science, AI & Analytics Lead Location: Fort Snelling, MN Work Arrangement: Hybrid (Must reside within 50 miles of Fort Snelling, MN)
Clearance: Active Secret Clearance Required
Employment Type: Full-Time Position Overview Forward Edge-AI is seeking a Data Science, AI & Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise. The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights. Work Location Requirement This is a hybrid position. Candidates must reside within 50 miles of Fort Snelling, MN and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access. Key Responsibilities * Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions * Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms * Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making * Oversee enterprise data integration, ETL processes, API development, and data engineering activities * Establish and maintain data governance frameworks, metadata standards, and data quality controls * Identify authoritative data sources and ensure compliance with Army and DoD data strategies * Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives * Brief senior military and civilian leadership on analytical findings, recommendations, and program performance * Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions * Support Agile, DevSecOps, and modern data platform practices * Provide technical leadership and mentorship to analytics and data teams Required Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field * Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines * Experience developing predictive models, machine learning solutions, and advanced analytics products * Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms * Experience with data integration, ETL development, and enterprise data management * Strong understanding of data governance, data quality, metadata management, and data stewardship * Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments * Active Secret Security Clearance * U.S. Citizenship required * Ability to communicate complex technical concepts to executive and non-technical audiences Preferred Qualifications * Experience supporting Army, DoD, or federal data and analytics programs * Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms * Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications * Experience leading cross-functional technical teams * Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders Why Forward Edge-AI At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.

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