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Internship Machine Learning Engineer Jobs in Nebraska

Barbaricum

Data Engineer

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... machine learning and statistical methods to find hidden patterns, discover tasks and processes ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE · On-site

$109.50K - $131.50K/yr

... machine learning and statistical methods to find hidden patterns, discover tasks and processes ... engineering • 4+ Years of experience with Maven Smart System/Palantir systems • Bachelor ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... machine learning and statistical methods to find hidden patterns, discover tasks and processes ...

Barbaricum

Data Engineer with Security Clearance

Omaha, NE · On-site +1

$98.50K - $118.30K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... machine learning and statistical methods to find hidden patterns, discover tasks and processes ...

Agile Defense

Data Scientist

Omaha, NE · On-site

... engineering strategies, and machine learning services within secure, containerized environments • collaborate closely with product managers, full-stack developers, platform engineers, and mission ...

DataAnnotation

Android Software Engineer

Lincoln, NE · On-site +1

$40/hr

As part of DataAnnotation's coding team, you'll collaborate with a community of over 100,000 professionals--including front‐end, back‐end, full‐stack, and machine learning engineers--to create ...

Barbaricum

Data Engineer

Omaha, NE

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... machine learning and statistical methods to find hidden patterns, discover tasks and processes ...

Barbaricum

Data Engineer

Omaha, NE · On-site

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... machine learning and statistical methods to find hidden patterns, discover tasks and processes ...

Agile Defense

Data Engineer

Omaha, NE · On-site

$109.50K - $131.50K/yr

Preferred : • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark ...

DMSi Software

Sr Data Engineer

Omaha, NE · On-site

$109.50K - $131.50K/yr

As a Senior Data Engineer, you will own the data pipeline for next-generation data products ... and machine learning capabilities across DMSi's product portfolio. • Partner with Product to ...

Epic

Software Engineer

Lincoln, NE · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

DMSi Software

Sr Data Engineer

Omaha, NE

$96.20K - $130.70K/yr

As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of ... Create a foundational data infrastructure to support AI and machine learning capabilities across ...

DMSi Software

Sr Data Engineer

Omaha, NE · On-site

$96.20K - $130.70K/yr

As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of ... Create a foundational data infrastructure to support AI and machine learning capabilities across ...

DMSi Software

Sr Data Engineer

Omaha, NE · On-site

$96.20K - $130.70K/yr

As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of ... Create a foundational data infrastructure to support AI and machine learning capabilities across ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

In this role, you will contribute to the development and deployment of modern machine learning ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

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Internship Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

What types of projects and responsibilities can I expect as an Internship Machine Learning Engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What does an Internship Machine Learning Engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

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

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What are the most commonly searched types of Machine Learning Engineer jobs in Nebraska? The most popular types of Machine Learning Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Internship Machine Learning Engineer jobs? Cities in Nebraska with the most Internship Machine Learning Engineer job openings:
Internship Machine Learning Engineer jobs near you
Data Engineer

Data Engineer

Barbaricum

Omaha, NE • On-site, Remote

$109.50K - $131.50K/yr

Other

Posted 10 days ago

Job description

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM J2 at Offutt Air Force Base near Omaha, Nebraska. This individual will work to migrate existing ad hoc data flows to JWICS AWS available to the enterprise. Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts. Using these foundational efforts, the Data Engineer will then develop, implement, and operate a data management system for the intelligence enterprise.
 

Responsibilities:

  • Design, implement, and operate data management systems for intelligence needs
  • Use Python to automate data workflows
  • Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
  • Work with data users to determine, create, and populate optimal data architectures, structures, and systems; and plan, design, and optimize data throughput and query performance
  • Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
  • Assist and advise the Government with developing, constructing, and maintaining data architectures
  • Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
  • Align data architecture, acquisition, and processes with intelligence and analytic requirements
  • Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations
  • Design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests
  • Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data in order to draw conclusions and make predictions

Qualifications:

  • Active DoD Top Secret/SCI clearance required
  • 8+ years of demonstrated experience in software engineering
  • Bachelor's degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience
  • 8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
  • Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • 3+ years of experience using analytical concepts and statistical techniques
  • 8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Due to security requirements, this position is primarily required to be performed on-site. However, subject to project and customer requirements, team members may be provided flexibility for limited remote support.

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