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Machine Learning Engineer Quantization Jobs in Ravenel, SC

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$125 - $150/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

BSFR Property Management LLC

Data Scientist

Charleston, SC · On-site

$100 - $125/hr

The ideal candidate combines strong expertise in data science, machine learning, and statistical ... Programming: strong Python and SQL skills for building models and analyzing data, with hands‑on ...

DXC Technology

Data Engineering Lead

Charleston, SC · On-site

Build and optimize data environments that support AI, machine learning, and advanced analytics ... Partner with engineering, product management, operations, and business teams to prioritize ...

DXC Technology

Data Engineering Lead

Charleston, SC · On-site

Build and optimize data environments that support AI, machine learning, and advanced analytics ... Partner with engineering, product management, operations, and business teams to prioritize ...

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Showing results 21-40

All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Ravenel, SC

Machine Learning Engineer Quantization information

See Ravenel, SC salary details

$31.8K

$130.1K

$195.6K

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

As of Sep 9, 2026, the average yearly pay for machine learning engineer quantization in Ravenel, SC is $130,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $156,600.00 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.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Ravenel, SC?

For Machine Learning Engineer Quantization jobs in Ravenel, SC, the most frequently searched job titles are:

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Ravenel, SC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Contract, and 1% Nights. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $130,140 per year, or $62.6 per hour.

Senior Data Scientist

Hanahan, SC • On-site

PEMCCO, Inc.
51 - 200 employees
Learn more about PEMCCO, Inc.external

$48.56 - $77.69/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 days ago

Job description

Pay: $48.56 - $77.69 hourly, depending on experience

Benefits: Medical, Dental, Vision, Paid Time Off, Paid Holidays, Employee Assistance Program, and other company-sponsored benefits
Security Clearance: Ability to obtain and maintain a government security clearance if required

Are you an experienced data scientist who enjoys solving complex problems, building advanced analytical models, and turning large datasets into actionable business intelligence?

PEMCCO is seeking a Senior Data Scientist to lead data-driven initiatives that support critical government and mission-focused operations. This role is ideal for a highly skilled analytical professional who enjoys leveraging machine learning, predictive analytics, data visualization, and statistical modeling to influence strategic decisions and drive operational success.

This opportunity is a strong fit for candidates with experience in data science, machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering.

About PEMCCO

PEMCCO supports complex technical and operational programs by providing skilled professionals who help customers achieve mission success. We offer opportunities to work on impactful projects, collaborate with experienced teams, and develop innovative solutions that support critical government operations.

Job Overview

As a Senior Data Scientist, you will apply advanced analytical, statistical, and computational methodologies to solve complex business and mission challenges. You will lead analytical initiatives, develop predictive and prescriptive models, and transform large, complex datasets into meaningful insights that support strategic planning, operational effectiveness, and informed decision-making.

This position offers the opportunity to work with diverse data sources, advanced analytics tools, and cross-functional teams while helping organizations maximize the value of their data assets.

What You'll Do

  • Collect, analyze, interpret, and validate structured and unstructured data from multiple sources
  • Develop and implement advanced statistical, predictive, and machine learning models
  • Design and maintain data pipelines, analytical processes, and data workflows
  • Create dashboards, reports, visualizations, and briefings that effectively communicate analytical findings
  • Identify trends, patterns, anomalies, and opportunities for operational improvement
  • Support data management, governance, and data quality initiatives
  • Collaborate with engineers, analysts, and program personnel to define data requirements and develop analytical solutions
  • Evaluate and recommend data science tools, technologies, and methodologies
  • Present analytical findings, recommendations, and insights to leadership and stakeholders
  • Provide technical guidance and mentorship to junior analysts and data scientists
  • Document methodologies, assumptions, analytical processes, and findings
  • Support mission, program, and organizational objectives through data-driven decision-making

What You Bring

Required Qualifications

  • Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field
  • Ten (10) years of experience in data science, data analytics, statistical analysis, machine learning, predictive analytics, or a related field
  • Strong knowledge of data science, statistical analysis, and predictive modeling techniques
  • Knowledge of machine learning concepts and analytical methodologies
  • Understanding of data management and data governance principles
  • Ability to analyze and interpret large, complex datasets
  • Ability to develop and communicate data-driven recommendations
  • Strong analytical, critical-thinking, and problem-solving skills
  • Strong written and verbal communication skills
  • Ability to communicate effectively with both technical and non-technical audiences
  • Proficiency with SQL and data analysis tools
  • Ability to work independently and collaboratively within cross-functional teams
  • Ability to obtain and maintain a government security clearance if required

Preferred Experience

  • Doctorate degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, or a related field
  • Experience supporting Department of Defense or Federal Government programs
  • Experience developing machine learning and predictive analytics solutions
  • Experience with data visualization and business intelligence platforms
  • Experience working within cloud-based data environments
  • Experience leading analytical projects, research initiatives, or data-driven programs

Why Join PEMCCO?

  • Support critical government and customer missions through advanced analytics and data-driven decision-making
  • Lead meaningful projects that influence operational and strategic outcomes
  • Work with modern analytics, machine learning, and business intelligence technologies
  • Collaborate with experienced technical professionals across multiple disciplines
  • Solve complex problems using innovative analytical approaches
  • Mentor and support the development of emerging data professionals
  • Build a rewarding career in a collaborative and mission-focused environment

Work Environment

  • Professional office and technical work environments
  • Work may be performed at company facilities, customer locations, or designated project sites as needed
  • Regular use of computers, analytics platforms, visualization tools, and communication systems
  • Frequent collaboration with technical teams, leadership, customers, and stakeholders

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Paid Time Off
  • Paid Holidays
  • Employee Assistance Program
  • Additional company-sponsored benefits

Apply Today

If you're an experienced data scientist looking to solve complex challenges, develop innovative analytical solutions, and help organizations make smarter, data-driven decisions, we encourage you to apply.

Join PEMCCO and help transform data into actionable intelligence that drives mission success.


Equal Opportunity Employer

PEMCCO, Inc. is an equal opportunity employer. The Company does not discriminate on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, genetic information, military or veteran status, pregnancy, childbirth and related medical conditions, or any other characteristic protected by applicable federal, state, or local law.

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