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Machine Learning Engineer Quantization Jobs in Louisville, NE

Dark Wolf

DevOps Engineer

Omaha, NE · On-site

$50.50 - $69/hr

... machine learning, and mission support and engineering services to the Intelligence Community ... national security, and Fortune 500 customers. Founded in 2009, the company is headquartered in ...

Sandhills Global, Inc.

Data Scientist

Lincoln, NE · On-site

... and machine learning models using state of the art Machine Learning and AI technologies, Visualize insights for business actions and collaborate with Software Developers to implement into our ...

Cordova

AI Architect

Omaha, NE · On-site

... machine learning models, natural language processing systems, computer vision applications, and data pipelines. - Collaborate with data scientists and engineers to identify requirements and translate ...

Qualis1 Inc

Talend Developer: Onsite Role

Omaha, NE · On-site

Machine learning & architecture * Data warehouse design * Strong knowledge of Java programming and PL-SQL. * Experience with REST API integration. * Working knowledge of Unix/Linux and Shell ...

Dark Wolf

Senior DevOps Engineer

Omaha, NE · On-site

$124K - $159K/yr

... machine learning, and mission support and engineering services to the Intelligence Community ... national security, and Fortune 500 customers. Founded in 2009, the company is headquartered in ...

Deloitte

Finance Analytics & AI Senior Consultant

Omaha, NE · On-site

$111K/yr

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...

Lockheed Martin

Senior AI Engineer

Offutt Air Force Base, NE · Hybrid

$116K - $153K/yr

... Intelligence and Machine Learning systems, model creation, data science / analytics, and ... engineers, architects, scrum masters, product owners, and end users to deliver AI / ML mission ...

Lockheed Martin Corporation

Senior AI Engineer

NE · Hybrid

$116K - $153K/yr

... Intelligence and Machine Learning systems, model creation, data science / analytics, and ... engineers, architects, scrum masters, product owners, and end users to deliver AI / ML mission ...

Brookfield

Sr P&C Data Scientist

Omaha, NE

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R) * Experience working with large, complex datasets and applying statistical or machine learning methods to ...

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Showing results 41-60

All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Louisville, NE

Machine Learning Engineer Quantization information

See Louisville, NE salary details

$29.8K

$121.9K

$183.1K

How much do machine learning engineer quantization jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer quantization in Louisville, NE is $121,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $146,700.00 per year, depending on experience, location, and employer.

What does a machine learning engineer quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What are some common challenges machine learning engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a machine learning engineer quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

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

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Louisville, NE as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $121,872 per year, or $58.6 per hour.

Data Analyst with Security Clearance

The GARRETT GROUP

Offutt Air Force Base, NE • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Data Analyst Location: Offutt AFB, NE Clearance: Active TOP SECRET with eligibility for SCI. Join a Mission-Driven Team at The GARRETT GROUP At The GARRETT GROUP, we believe the best solutions begin with a great team of people. When you join us, you become part of a collaborative, mission-focused community committed to excellence in everything we do. We take pride in supporting our nation's most critical missions while creating an environment where our employees can thrive. Our team members enjoy a comprehensive benefits package-including a competitive 401(k) with company match, generous Paid Time Off, flexible work schedules, medical, dental, and vision coverage, short-term disability, and company-paid life insurance-because taking care of you enables you to take care of the mission. Position Overview The GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives in a dynamic Department of Defense environment. The selected candidate will be responsible for designing and implementing enterprise-level data collection strategies, managing and analyzing large and complex datasets, and delivering actionable insights to support operational and strategic decision-making. This role requires strong technical expertise in data science methodologies, machine learning model development, statistical analysis, and business intelligence tools. The ideal candidate will possess the ability to lead analytical projects, collaborate across multidisciplinary teams, and communicate complex findings to technical and non-technical stakeholders. Key Responsibilities The Data Analyst will design and manage data collection processes, analyze large and complex datasets, develop machine learning models, and create analytical products using Python, R, SQL, and Business Intelligence tools. The role supports mission decision-making through data visualization, automation, project leadership, Agile collaboration, and delivery of actionable insights to technical and senior leadership teams. Required Qualifications * Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related technical discipline. * Minimum of 7 years of experience designing and implementing data collection strategies, data management solutions, and advanced analysis of large, complex datasets. * Demonstrated experience leading analytical or technical projects and coordinating cross-functional teams. * Direct experience developing, testing, and deploying Machine Learning models. * Expertise with: * Python * R * Business Intelligence tools * Data cleaning and data wrangling methodologies * Proficiency with: * Structured Query Language (SQL) * Database management concepts and practices * Familiarity with Agile methodologies and participation in sprint planning, backlog grooming, and retrospectives. * Strong analytical, problem-solving, and critical-thinking skills. * Excellent written and verbal communication skills, including the ability to brief senior leadership. The GARRETT GROUP is an Equal Opportunity Employer.

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