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Machine Learning Engineer Quantization Jobs in Mississippi

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) * Statistical analysis and modeling * Data visualization tools (Matplotlib, Seaborn ...

INSIDE MACHINIST HA

Pascagoula, MS

$21.75 - $29.75/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

INSIDE MACHINIST HA

Pascagoula, MS

$21.75 - $29.75/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

INSIDE MACHINIST HA

Pascagoula, MS

$21.75 - $29.75/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

INSIDE MACHINIST

Pascagoula, MS · On-site

$20.50 - $28/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

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Machine Learning Engineer Quantization information

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 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 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.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Mississippi? For Machine Learning Engineer Quantization jobs in Mississippi, the most frequently searched job titles are:
Electrical Engineer Co-op

$21 - $25/hr

Part-time

Posted 20 days ago


Atlas Roofing Corporation rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Title:Electrical EngineerCo-op
Location:Meridian, MS
Duration:Regular Co-opstarting in July 2026
Department:Engineering / Operations
Reports To:Curt Morris, Director of Manufacturing Paper

We are seeking a skilledElectricalEngineer Internfor ourWeb Technologies Meridian, MS, location.

Electrical Engineer Co-op Key Responsibilities

  • Assist engineers in the design and development of electrical systems and components.
  • Support the creation and modification of electrical schematics and wiring diagrams.
  • Help with testing, troubleshooting, and analyzing electrical circuits and systems.
  • Collect and document test data and prepare technical reports.
  • Participate in prototype assembly, debugging, and validation activities.
  • Assist with CAD drawings and electrical design documentation.
  • Research electrical components, technologies, and industry standards.

Electrical Engineer Co-opRequired Skills & Qualifications

  • Second-semesterfreshmanstandingor higher
  • 2 GPA or higher
  • Currently pursuing a bachelor's or master's degree in electrical engineeringor a related field.
  • Basic understanding of electrical circuits, electronics, and power systems.
  • Familiarity with engineering tools such as MATLAB, AutoCAD Electrical, SolidWorks Electrical, or similar.
  • Strong analytical and problem-solving skills.
  • Ability to work both independently and in a team environment.
  • Good written and verbal communication skills.

Electrical Engineer Co-op Preferred Qualifications

  • Experience with circuit design, PCB layout, or embedded systems.
  • Knowledge of testing equipment such as oscilloscopes, multimeters, and signal generators.
  • Familiarity with programming languages such as Python, C/C++, or MATLAB.

What We Offer

  • Opportunity to work on data-driven automation and machine learning solutions
  • Collaborative, cross-functional work environment
  • Exposure tocutting-edgeindustrial analytics and automation technologies.

Atlas Total Compensation

  • Hourly Wages
  • Second Semester Freshman: $18-19/hr.
  • Sophomore: $19-21/hr.
  • Jr: $20-23/hr.
  • Senior: $21-25/hr.
  • Housing AssistanceProvided

Resume Submittal

  • Interested?Tosubmityour resume, scanbelow.