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Machine Learning Engineer Python Jobs in Nebraska

Barbaricum

Data Engineer

Omaha, NE · On-site

$109.50K - $131.50K/yr

Use Python to automate data workflows * Design algorithms databases, and pipelines to access, and ... 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

Use Python to automate data workflows * Design algorithms databases, and pipelines to access, and ... machine learning and statistical methods to find hidden patterns, discover tasks and processes ...

Agile Defense

Data Scientist

Omaha, NE · On-site

... machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • Experience developing ML ...

DataAnnotation

Android Software Engineer

Lincoln, NE · On-site +1

$40/hr

... machine learning engineers--to create and solve coding challenges, build beautiful apps, and ... JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and ...

1872 Consulting

Data Science Manager

Lincoln, NE · On-site

Applies artificial intelligence and machine learning techniques to solve complex questions or fuel ... Experience programming in R, SQL, Python * Automate data wrangling, iterative solution search and ...

DMSi Software

Sr Data Engineer

Omaha, NE · On-site

$96.20K - $130.70K/yr

Create a foundational data infrastructure to support AI and machine learning capabilities across ... Strong Python skills for data processing, automation, and scripting. Cloud infrastructure ...

The Garrett Group

Data Analyst

NE · On-site

... machine learning models, and create analytical products using Python, R, SQL, and Business ... Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering ...

Bausch + Lomb

AI Agent ML Engineer

Lincoln, NE

$165K - $190K/yr

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning ... Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent ...

DMSi Software

Sr Data Engineer

Omaha, NE · On-site

$96.20K - $130.70K/yr

Create a foundational data infrastructure to support AI and machine learning capabilities across ... Strong Python skills for data processing, automation, and scripting. Cloud infrastructure ...

Bausch + Lomb

AI Agent ML Engineer

Lincoln, NE · On-site

$165K - $190K/yr

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning ... Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent ...

DMSi Software

Sr Data Engineer

Omaha, NE

$101.40K - $137.80K/yr

Create a foundational data infrastructure to support AI and machine learning capabilities across ... Strong Python skills for data processing, automation, and scripting. Cloud infrastructure ...

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Machine Learning Engineer Python information

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

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Nebraska? For Machine Learning Engineer Python jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Nebraska look for? The top searched job categories for Machine Learning Engineer Python jobs in Nebraska are:
What cities in Nebraska are hiring for Machine Learning Engineer Python jobs? Cities in Nebraska with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Data Engineer

Data Engineer

Barbaricum

Omaha, NE • On-site

$109.50K - $131.50K/yr

Full-time

Posted 15 days ago

Job description

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.
Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team.
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.
EEO Commitment
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

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