If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines ... model quantization, and throughput tuning. - Experience with Azure Event Hub, Blob Storage ...
Quick apply
If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines ... model quantization, and throughput tuning. - Experience with Azure Event Hub, Blob Storage ...
If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines ... model quantization, and throughput tuning. - Experience with Azure Event Hub, Blob Storage ...
If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines ... model quantization, and throughput tuning. - Experience with Azure Event Hub, Blob Storage ...
Responsibilities : • Accomplished Data Scientist AI and Machine Learning Engineer with good experience in designing and deploying enterprisescale generative AI predictive analytics and decision ...
Responsibilities : • Accomplished Data Scientist AI and Machine Learning Engineer with good experience in designing and deploying enterprisescale generative AI predictive analytics and decision ...
Data Engineer
Charlotte, NC · On-site
$111K - $134K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is developing industry-leading AI and machine learning capabilities to improve ...
Data Engineer
Charlotte, NC · On-site
$111K - $134K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is developing industry-leading AI and machine learning capabilities to improve ...
Generative AI Engineer
Charlotte, NC · On-site
$60 - $72/hr
Strong proficiency in Python AI / Machine Learning * Solid experience with AI/ML frameworks ... Experience with distributed GPU inference, model optimization, quantization, and high-performance ...
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Generative AI Engineer
Charlotte, NC · On-site
$60 - $72/hr
Strong proficiency in Python AI / Machine Learning * Solid experience with AI/ML frameworks ... Experience with distributed GPU inference, model optimization, quantization, and high-performance ...
... machine learning techniques and collaborate with technology teams to operationalize them into ... Proficiency in model quantization techniques (FP8, AWQ, GPTQ) and performance tuning • Experience ...
... machine learning techniques and collaborate with technology teams to operationalize them into ... Proficiency in model quantization techniques (FP8, AWQ, GPTQ) and performance tuning • Experience ...
Senior AI Engineer - SFL Scientific
$102K - $140K/yr
Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...
Senior AI Engineer - SFL Scientific
$102K - $140K/yr
Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...
MLOps Engineer
Charlotte, NC · On-site
Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data science * 4 to 6 years of strong experience with the following machine learning topics classification ...
Quick apply
MLOps Engineer
Charlotte, NC · On-site
Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data science * 4 to 6 years of strong experience with the following machine learning topics classification ...
... machine learning techniques and collaborate with technology teams to operationalize them into ... Proficiency in model quantization techniques (FP8, AWQ, GPTQ) and performance tuning Experience ...
... machine learning techniques and collaborate with technology teams to operationalize them into ... Proficiency in model quantization techniques (FP8, AWQ, GPTQ) and performance tuning Experience ...
AWS Healthcare Data Engineer
Charlotte, NC · Remote
$55 - $70/hr
Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language Processing (NLP) * Cluster & Job Orchestration * Scalable Compute Orchestration * Automated CI/CD Pipelines
New
Quick apply
AWS Healthcare Data Engineer
Charlotte, NC · Remote
$55 - $70/hr
Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language Processing (NLP) * Cluster & Job Orchestration * Scalable Compute Orchestration * Automated CI/CD Pipelines
New
AWS Healthcare Data Engineer
Charlotte, NC · Remote
$55 - $70/hr
Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language Processing (NLP) * Cluster & Job Orchestration * Scalable Compute Orchestration * Automated CI/CD Pipelines
New
Quick apply
AWS Healthcare Data Engineer
Charlotte, NC · Remote
$55 - $70/hr
Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language Processing (NLP) * Cluster & Job Orchestration * Scalable Compute Orchestration * Automated CI/CD Pipelines
New
... programming skillsusing Python packages such as Numpy, Pandas, and scikit-learn. - Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM ...
... programming skillsusing Python packages such as Numpy, Pandas, and scikit-learn. - Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM ...
ML Engineer
Charlotte, NC · On-site
Proven experience in data science, machine learning, or predictive analytics roles * Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.) * Experienced in using ...
Quick apply
ML Engineer
Charlotte, NC · On-site
Proven experience in data science, machine learning, or predictive analytics roles * Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.) * Experienced in using ...
AI Engineer - Video Analytics
Charlotte, NC · On-site
Required Qualifications 3+ years of experience shipping computer vision or machine learning systems ... batching, stride, TensorRT, CUDA, model quantization, and throughput tuning. Preferred ...
AI Engineer - Video Analytics
Charlotte, NC · On-site
Required Qualifications 3+ years of experience shipping computer vision or machine learning systems ... batching, stride, TensorRT, CUDA, model quantization, and throughput tuning. Preferred ...
AWS Healthcare Data Engineer
Charlotte, NC · Remote
$55 - $70/hr
Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language Processing (NLP) * Cluster & Job Orchestration * Scalable Compute Orchestration * Automated CI/CD Pipelines
New
Quick apply
AWS Healthcare Data Engineer
Charlotte, NC · Remote
$55 - $70/hr
Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language Processing (NLP) * Cluster & Job Orchestration * Scalable Compute Orchestration * Automated CI/CD Pipelines
New
... machine learning techniques and collaborate with technology teams to operationalize them into ... Proficiency in model quantization techniques (FP8, AWQ, GPTQ) and performance tuning Experience ...
... machine learning techniques and collaborate with technology teams to operationalize them into ... Proficiency in model quantization techniques (FP8, AWQ, GPTQ) and performance tuning Experience ...
ML Ops Engineer
Charlotte, NC · On-site
$60/hr
Overview Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities * Develop and maintain ML pipelines using tools like MLflow ...
Quick apply
ML Ops Engineer
Charlotte, NC · On-site
$60/hr
Overview Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities * Develop and maintain ML pipelines using tools like MLflow ...
AI Engineer
Charlotte, NC · On-site
$55K - $187K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...
AI Engineer
Charlotte, NC · On-site
$55K - $187K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...
Gen AI Engineer
Charlotte, NC · On-site
... Machine Learning Engineer AWS AI Practitioner Experience with MLOps CICD and infrastructureascode tools Terraform CloudFormation Familiarity with other LLM providers such as OpenAI Meta Llama Mistral ...
Gen AI Engineer
Charlotte, NC · On-site
... Machine Learning Engineer AWS AI Practitioner Experience with MLOps CICD and infrastructureascode tools Terraform CloudFormation Familiarity with other LLM providers such as OpenAI Meta Llama Mistral ...
The Principal AI Engineer architects and implements artificial intelligence and machine learning ... Familiarity with model optimization techniques including quantization and distillation. * Knowledge ...
The Principal AI Engineer architects and implements artificial intelligence and machine learning ... Familiarity with model optimization techniques including quantization and distillation. * Knowledge ...
Machine Learning Engineer Quantization information
See Charlotte, NC salary details
$30.8K - $45.2K
1% of jobs
$45.2K - $59.5K
1% of jobs
$59.5K - $73.9K
5% of jobs
$73.9K - $88.3K
6% of jobs
$100.2K is the 25th percentile. Wages below this are outliers.
$88.3K - $102.7K
14% of jobs
$102.7K - $117.1K
14% of jobs
The median wage is $124.3K / yr.
$117.1K - $131.5K
18% of jobs
$131.5K - $145.8K
14% of jobs
$148.8K is the 75th percentile. Wages above this are outliers.
$145.8K - $160.2K
12% of jobs
$160.2K - $174.6K
11% of jobs
$174.6K - $189K
5% of jobs
$30.8K
$125.8K
$189K
How much do machine learning engineer quantization jobs pay per year?
As of Aug 6, 2026, the average yearly pay for machine learning engineer quantization in Charlotte, NC is $125,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $151,400.00 per year, depending on experience, location, and employer.
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?
| Aspect | Machine Learning Engineer Quantization | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, ML, or related; certifications in ML or AI | Bachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics |
| Work Environment | Developing optimized ML models, deploying quantized models for efficiency | Analyzing data, building predictive models, interpreting results |
| Industry Usage | Tech companies, AI hardware firms, embedded systems | Finance, 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 Charlotte, NC? For Machine Learning Engineer Quantization jobs in Charlotte, NC, the most frequently searched job titles are:
- Urgently Hiring Machine Learning Engineer New Grad
- Remote Senior Machine Learning Engineer
- Google Cloud Machine Learning Engineer
- Remote Machine Learning Engineer
- Hourly Remote Machine Learning Engineer
- Senior Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Senior Machine Learning Researcher
- Artificial Intelligence Engineer Full Time
- Machine Learning Engineer Intern
What job categories do people searching Machine Learning Engineer Quantization jobs in Charlotte, NC look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Machine Learning Engineer Quantization jobs? Cities near Charlotte, NC with the most Machine Learning Engineer Quantization job openings:
Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC
Charlotte, NC
Full-time
Medical, Dental, Vision, PTO
Posted 26 days ago
Job description
Job Description
Additional Information
Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC
The Artificial Intelligence (AI) Engineer, Video Analytics will work with a team that builds GPU‑accelerated video analytics for real‑time safety monitoring across large fleets and industrial environments. The system processes high‑volume video streams, runs YOLO‑based detection models, performs temporal tracking and smoothing to reduce false positives, and identifies actionable safety violations. Inference results are published to downstream APIs and integrated with Azure Event Hub, Blob Storage, and cloud monitoring systems. If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines, and building real‑world safety applications that make an impact, you will fit right in. This position is 100% Onsite in Charlotte, NC.
Artificial Intelligence (AI) Engineer Responsibilities:
- Develop and optimize GPU‑accelerated video inference pipelines, including batching, stride control, and throughput tuning.
- Implement, evaluate, and improve object detection models (YOLO or similar) and build temporal smoothing/tracking logic for safety event detection.
- Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools to maximize throughput and minimize latency/VRAM usage.
- Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services.
- Add robust metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs.
- Collaborate on dataset curation, labeling, model training, validation, and experiment tracking.
- Support containerized deployments (Docker) and assist with monitoring and scaling production workloads.
QualificationsArtificial Intelligence (AI) Engineer Qualifications:
- 3+ years of experience shipping computer vision or machine learning systems to production.
- Strong proficiency in Python and experience with OpenCV, PyTorch, async I/O frameworks, and API integrations.
- Hands-on experience with YOLO/Ultralytics or similar object detection frameworks.
- Solid understanding of video processing fundamentals: frame sampling, temporal filtering, confidence thresholds, and multi-camera aggregation.
- Experience optimizing GPU inference performance batching, stride, TensorRT, CUDA, model quantization, and throughput tuning.
- Experience with Azure Event Hub, Blob Storage, Application Insights, or similar cloud messaging/storage platforms is a plus.
- Familiarity with Docker, cloud deployments, and production monitoring systems is a plus.
- Experience in temporal/sequence analysis for event detection is a plus.
- Background in video analytics for safety, compliance, or industrial/transportation environments is a plus.
- Tech Stack: aiohttp, Application Insights, asyncio, Azure Blob Storage, Azure Event Hub, CUDA, Docker, gRPC, ML - Machine Learning, ONNX, OpenCV, Python, PyTorch, RESTful APIs, Telemetry Tools, TensorRT, and Ultralytics YOLO.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: Charlotte NC Jobs, Artificial Intelligence (AI) Engineer, aiohttp, Application Insights, asyncio, Azure Blob Storage, Azure Event Hub, CUDA, Docker, gRPC, ML, Machine Learning, ONNX, OpenCV, Python, PyTorch, RESTful APIs, Telemetry Tools, TensorRT, and Ultralytics YOLO, Video Analytics, North Carolina Recruiters, IT Jobs, North Carolina Recruiting
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