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Tensorflow Pytorch Jobs in Mount Pleasant, SC (NOW HIRING)

Mercedes-Benz Cars UK Limited

AI Engineer

Ladson, SC

$111K - $134K/yr

Machine learning frameworks (TensorFlow, PyTorch). Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and database knowledge. Proven experience in AI development ...

Daimler

AI Engineer

Ladson, SC

$111K - $134K/yr

Machine learning frameworks (TensorFlow, PyTorch). Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and database knowledge. Proven experience in AI development ...

Eisneramper Llp

AI Solution Architect

Charleston, SC · On-site +1

$59 - $77.75/hr

TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper:

Lindsay & Brownell

AI Solution Architect

Charleston, SC · On-site +1

$59 - $77.75/hr

TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper:

DXC Technology

AI - Sr Analyst I

Charleston, SC

Must have good knowledge in Python, R, SQL,PyTorch, TensorFlow. Should be proficient in AGENTIC AI and LLM evaluation Candidate should be technology-oriented, forward-thinking individual. The ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Mount Pleasant, SC

Tensorflow Pytorch information

See Mount Pleasant, SC salary details

$35.8K

$117.3K

$187.8K

How much do tensorflow pytorch jobs pay per year?

As of Jul 31, 2026, the average yearly pay for tensorflow pytorch in Mount Pleasant, SC is $117,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What job categories do people searching Tensorflow Pytorch jobs in Mount Pleasant, SC look for? The top searched job categories for Tensorflow Pytorch jobs in Mount Pleasant, SC are:
What cities near Mount Pleasant, SC are hiring for Tensorflow Pytorch jobs? Cities near Mount Pleasant, SC with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

AI Engineer

Mercedes-Benz Cars UK Limited

Ladson, SC

$111K - $134K/yr

Other

Retirement

Re-posted 12 days ago

Job description

Shape the future today.

The world is changing. The question is, what will be our contribution to the outcome? We have set the pace in the field of mobility from the very beginning, and we will continue to do so. At Mercedes-Benz Vans, interdisciplinary teams are developing the mobility of tomorrow. Our goal is to make mobility safer, simpler, and more sustainable for people across the globe. Put your pioneering spirit to good use: This is your opportunity to make a contribution that extends far beyond your job title.

At Mercedes-Benz Vans, we offer you the perfect environment for your professional and personal growth. Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths. Think, try, and thrive with us in collaborative work environments that spark game-changing concepts.

Job Overview:

       Designs and implements AI and machine learning solutions to improve manufacturing and business processes.

       Works with cross-functional teams to integrate AI into production systems and decision-making.

       Supports full AI lifecycle from development to deployment and continuous improvement.

Responsibilities:

Develop and deploy machine learning models and AI applications using frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve complex problems involving natural language processing, data mining, and unsupervised learning.

Conduct model training, validation, and deployment ensuring robustness and accuracy across various AI applications.

Utilize cloud services such as AWS for model deployment and scaling AI applications in production environments.

Analyze large datasets to identify trends and optimization opportunities.

Build and maintain data pipelines and AI systems.

Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other programming languages.

Define and track KPIs for AI solutions.

Financial Responsibilities:

Support budget tracking and ROI evaluation for AI projects.

Develop dashboards and visualizations using Looker or similar tools to communicate insights effectively to stakeholders.

Perform root cause analysis using AI techniques.

Ensure data governance and compliance.

Document models and provide training.

Manage AI-related projects and timelines.

Stay current with advancements in machine learning frameworks, natural language processing techniques, big data technologies like Hadoop and Spark, and emerging trends in AI.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field.

3-5 years of AI/ML or data engineering experience preferred.

Manufacturing or automotive experience preferred.

Knowledge & Skills: 

Machine learning frameworks (TensorFlow, PyTorch).

Programming in Python or similar.

Cloud platforms experience (Azure, AWS).

Data analysis and database knowledge.

Proven experience in AI development with a strong understanding of machine learning algorithms including supervised and unsupervised learning methods.

Proficiency in programming languages such as Python, Java, R, C, VBA, Bash (Unix shell), with hands-on experience in model training and deployment.

Extensive knowledge of big data tools like Hadoop, Spark, Talend, ETL processes, SQL databases, and database design principles.

Knowledge of natural language processing techniques and applications in real-world scenarios.

Strong analytical and problem-solving skills with the ability to interpret complex data sets effectively.

We are all in for change. Are you too? Apply now.

If you have experience in the above and are interested in joining an outstanding company we welcome you to apply. The division Mercedes-Benz Vans is world renown for quality and innovative products.

EXCELLENT COMPENSATION & BENEFITS PLAN WITH 401k MATCHING

Mercedes-Benz Vans, LLC ("MBV Charleston") is a Ladson, South Carolina-based production entity that manufactures Sprinter vans for the U.S. and Canadian markets.

The Sprinter plant officially opened in 2018 and serves as a key part of the Mercedes-Benz Vans global production network. MBV Charleston was selected as the first plant in this network to produce the all-new eSprinter, beginning in 2024. The company also continues to invest in the local community through donations to non-profits and schools, as well as active support of STEM education initiatives and volunteer programs.

Since 2006, Sprinter and Metris vans have been assembled in North Charleston and delivered to destinations across the United States. In 2025, the plant celebrated the assembly of the 5,000,000th Sprinter in the Mercedes-Benz global production network. The U.S. remains the second largest market for Sprinter vans after Germany.

https://mbvcharleston.com/ 

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