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Tensorflow Pytorch Jobs in Louisiana (NOW HIRING)

CGI Inc.

Forward Deployed Engineer

Lafayette, LA · On-site

Computer vision and deep learning frameworks (e.g., PyTorch, TensorFlow, OpenCV) . Building, training, and fine-tuning image processing and deep learning models (classification, detection ...

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Tensorflow Pytorch information

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 are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

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.

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 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.

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What job categories do people searching Tensorflow Pytorch jobs in Louisiana look for?

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What cities in Louisiana are hiring for Tensorflow Pytorch jobs?

Cities in Louisiana with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you

AI Intern

Quality Engineering & Surveying, LLC

Denham Springs, LA • On-site

$13.75 - $18.25/hr

Internship

Re-posted 15 days ago

Job description

Quality Engineering & Surveying, LLC (QES) is committed to innovation and leveraging cutting-edge technologies to improve operations, decision-making, and customer experiences. We are seeking a motivated and curious AI Intern to join our team and contribute to real-world artificial intelligence and data-driven projects. Position OverviewAs an AI Intern at QES, you will work alongside experienced professionals to design, develop, and implement AI and machine learning solutions. This role is ideal for someone passionate about emerging technologies, problem-solving, and applying AI in practical business environments. Key Responsibilities of the AI InternAssist in developing and implementing machine learning models and AI solutionsConduct data collection, cleaning, and preprocessing for analysisSupport automation and optimization projects using AI toolsCollaborate with cross-functional teams to identify opportunities for AI integrationPerform research on AI trends, tools, and best practicesAnalyze and present insights and findings to the teamHelp document processes and maintain technical documentationQualificationsCurrently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related fieldBasic understanding of machine learning concepts and algorithmsFamiliarity with programming languages such as Python, R, or JavaExperience with libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plusStrong analytical, problem-solving, and communication skillsAbility to work independently and collaboratively in a team environmentPreferred SkillsExperience with data visualization tools (Power BI, Tableau, etc.)Knowledge of SQL and databasesExposure to natural language processing (NLP) or computer visionFamiliarity with cloud platforms (Azure, AWS, or Google Cloud)What you'll gain as an intern:Hands-on experience working on real AI projectsMentorship from experienced professionalsExposure to industry tools and technologiesOpportunity to build a strong portfolio and professional networkPotential for future employment opportunities
Job Posted by ApplicantPro