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Machine Learning Assistant Jobs in North Carolina

TigerGraph

Account Executive

Charlotte, NC · On-site

$150K - $160K/yr

... AI,machine learning, and indeed decisioning. * Seven of the top ten global banks use TigerGraph for real-time fraud detection. * 50 million patients receive care path recommendations to assist them ...

IntraEdge

Cybersecurity Engineer - Lead

Charlotte, NC · On-site

... assist in promoting SOAR and SIEM best practices across the team. Required Qualifications * 6+ years of experience in cybersecurity engineering , including SIEM (Splunk), SOAR, and machine learning ...

Adecco

Machine Operator

Burgaw, NC · On-site

$19/hr

This is a great opportunity to further your existing skills as a Machine Operator while learning new ones to assist you in your career. The best part is you would be joining a winning culture with ...

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Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in North Carolina?

The most popular types of Machine Learning jobs in North Carolina are:

What are popular job titles related to Machine Learning Assistant jobs in North Carolina?

For Machine Learning Assistant jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in North Carolina look for?

The top searched job categories for Machine Learning Assistant jobs in North Carolina are:

What cities in North Carolina are hiring for Machine Learning Assistant jobs?

Cities in North Carolina with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC

Ginas Tech Jobs

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 24 days ago

Job description

Job Description

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC

The Artificial Intelligence (AI) Engineer, Video Analytics will work with a team that builds GPUaccelerated video analytics for realtime safety monitoring across large fleets and industrial environments.  The system processes highvolume video streams, runs YOLObased 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 realworld 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 GPUaccelerated 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.

Qualifications

Artificial 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

Looking to hire an Artificial Intelligence (AI) Engineer, Video Analytics in Charlotte, NC or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Artificial Intelligence (AI) Engineers, Video Analytics for jobs in Charlotte, North Carolina and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

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