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Machine Learning Engineer Quantization Jobs in Wilson, NC

... engineer/solution architect designing and delivering large scale distributed software systems ... Optional Skills: • Experience in Machine Learning, Deep Learning, Data Science • Experience ...

... engineer/solution architect designing and delivering large scale distributed software systems ... Experience in Machine Learning, Deep Learning, Data Science Experience with Cloud architecture ...

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... or Engineering, or equivalent education and related training 2. Exhibit understanding of ...

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... or Engineering, or equivalent education and related training 2. Exhibit understanding of ...

Manufacturing / Quality Engineer

Whitakers, NC

$65.30K - $84.10K/yr

... learning. Visit www.collabera.com to learn more about our latest job openings. Awards and ... the Machining PFMEA's. Individual will be involved in the review and updates of PFMEA's as well ...

Sr. Manufacturing Engineer (Onsite)

Wilson, NC · On-site

$86.80K - $165.20K/yr

This professional should be familiar with processes such as machining, welding, brazing, etch/laser ... learning opportunities are limited solely by time, effort, and curiosity of the individual.

Sr. Manufacturing Engineer (Onsite)

Wilson, NC

$84.50K - $115.60K/yr

This professional should be familiar with processes such as machining, welding, brazing, etch/laser ... learning opportunities are limited solely by time, effort, and curiosity of the individual.

Machinist II - 2nd Shift (Onsite)

Wilson, NC · On-site

$18.50 - $24.50/hr

Not Required Produces machine parts by assembling tooling, setting up programming, and operating ... Intermediate computer skills in terms of typing, navigating screens and learning new software ...

Strong knowledge of manufacturing processes including injection molding, assembly, machining, and ... You'll grow through meaningful work, continuous learning, and support that's tailored to your goals.

Strong knowledge of manufacturing processes including injection molding, assembly, machining, and ... You'll grow through meaningful work, continuous learning, and support that's tailored to your goals.

PLC Technician

Goldsboro, NC · On-site

$28 - $34.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... engineering, operations, and OEM partners to install, troubleshoot and optimize automated machinery ...

PLC Technician

Goldsboro, NC · On-site

$28 - $34.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... engineering, operations, and OEM partners to install, troubleshoot and optimize automated machinery ...

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Machine Learning Engineer Quantization information

See Wilson, NC salary details

$27.5K

$112.5K

$169.1K

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

As of May 31, 2026, the average yearly pay for machine learning engineer quantization in Wilson, NC is $112,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $135,500.00 per year, depending on experience, location, and employer.

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 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 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 cities near Wilson, NC are hiring for Machine Learning Engineer Quantization jobs? Cities near Wilson, NC with the most Machine Learning Engineer Quantization job openings:
Infographic showing various Machine Learning Engineer Quantization job openings in Wilson, NC as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $112,546 per year, or $54.1 per hour.
Hadoop Developer

Hadoop Developer

Incedo

Wilson, NC • On-site

Full-time

Posted 21 days ago


Job description

Company Description
Incedo (http://www.incedoinc.com/) (formerly a part of $4Bn Group) is a technology solutions and services organization headquartered in the Bay Area, USA with workforce across North America, South Africa and India (Gurgaon, Bangalore). We specialize in Data & Analytics and Product Engineering Services, with deep expertise in Financial Services, Life Science and Communication Engineering. Our key focus is on Emerging Technologies and Innovation. Our end-to-end capabilities span across Application Services, Infrastructure and Operations.
Job Description
Position : Hadoop Consultant
Location : Raleigh, NC
Duration: Contract/Full Time
Job Description:
• Bachelors (IT/Computer Science Preferred); Master's Degree preferred (IT/Computer Science Preferred) or equivalent experience
• 8-10 years of industry experience in analysing source system data and data flows, working with structured and unstructured data, and delivering data and solution architecture designs.
• Experience with clustered/distributed computing systems, such as Hadoop/MapReduce, Spark/SparkR, Lucene/ElasticSearch, Storm, Cassandra, Graph Databases, Analytics Notebooks like Jupyter, Zeppelin etc
• Experience building data pipelines for structured/unstructured, real-time/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing.
• 5+ years of experience as a data engineer/solution architect designing and delivering large scale distributed software systems, preferably in large scale global business- preferably using open source tools and big data technologies such as Cassandra, Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm, Redis, Drill etc
• Strong hands-on experience of programming with Java, Python, Scala etc.
• Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics.
• Knowledge of Data Warehousing best practices; modelling techniques and processes and complex data integration pipelines
• Experience gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
• Excellent technical skills - able to effectively lead a technical team of business intelligence and big data developers as well as data analysts.
Optional Skills:
• Experience in Machine Learning, Deep Learning, Data Science
• Experience with Cloud architecture & service like AWS, Azure
• Experience with Graph, Sematic Web, RDF Technologies
• Experience with Text Analytics using SOLR or ElasticSearch
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.