ZipRecruiter

Log In

1

Evening Computer Vision Deep Learning Engineer Jobs in Lexington, SC

Andela

Staff Machine Learning Engineer

North, SC · Remote

Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field. * Proven experience implementing machine learning algorithms and solutions at scale in ...

Varsity Tutors

Machine Learning Tutor

Columbia, SC · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Computer Programming Tutor

Columbia, SC · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of programming fundamentals including variables, data types, control structures ...

Ourhrconnect

e-Learning Designer/Developer

Columbia, SC · Hybrid

$19 - $23.25/hr

Work with Technical Support Staff to troubleshoot computer and software issues. * Assists with the ... Subsidized health plans, dental and vision coverage * 401k retirement savings plan with company ...

Varsity Tutors

AP Computer Science A Tutor

Columbia, SC · Remote

$40/hr

Deep knowledge of Java programming including primitive types, objects, boolean expressions ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Dexory

Deployment Engineer US

North, SC

Position Overview The Deployment Engineer will play an integral role in delivering our products to ... or computer vision applications preferred. * Proven hands-on experience with hardware in ...

next page

Showing results 1-20

People also search for

All JobsEvening Computer Vision Deep Learning Engineer JobsEvening Computer Vision Deep Learning Engineer Jobs in Lexington, SC

Evening Computer Vision Deep Learning Engineer information

See Lexington, SC salary details

$41.5K

$104K

$117.7K

How much do evening computer vision deep learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for evening computer vision deep learning engineer in Lexington, SC is $104,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $112,600.00 per year, depending on experience, location, and employer.

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in Lexington, SC? For Evening Computer Vision Deep Learning Engineer jobs in Lexington, SC, the most frequently searched job titles are:
Evening Computer Vision Deep Learning Engineer jobs near you
Senior AI/ML C++ software engineer

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC

$104.90K - $138.20K/yr

Full-time

Posted 9 days ago

Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector.

This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI .

Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).
Education:Bachelor LevelEmployment Type: FULL_TIME

Apply