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Tensorflow Pytorch Jobs in Mississippi (NOW HIRING)

Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) * Statistical analysis and modeling * Data visualization tools (Matplotlib, Seaborn, Plotly) * SQL and database querying * Geographic ...

AI Solution Architect

Hattiesburg, MS · On-site

$62.50 - $82.25/hr

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

AI Solution Architect

Hattiesburg, MS · On-site +1

$62.50 - $82.25/hr

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

AI Solution Architect

Hattiesburg, MS · On-site +1

$62.50 - $82.25/hr

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

Experience with deep learning frameworks such as TensorFlow or PyTorch. * Knowledge of NLP (Natural Language Processing), Computer Vision, or Generative AI. * Experience deploying ML models using ...

Tensorflow Pytorch information

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 are popular job titles related to Tensorflow Pytorch jobs in Mississippi? For Tensorflow Pytorch jobs in Mississippi, the most frequently searched job titles are:
What cities in Mississippi are hiring for Tensorflow Pytorch jobs? Cities in Mississippi with the most Tensorflow Pytorch job openings:
Data Engineer Co-Op

$21 - $25/hr

Part-time

Posted 10 days ago


Atlas Roofing Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Job Title:DataEngineerCo-op
Location:Meridian, MS
Duration:One termCo-opstarting in July 2026
Department:Engineering / Operations
Reports To:Nicki Vaughn,Plant Manager

We are seeking a skilledData EngineerInternfor ourMeridian, MS,Web Technologies plantwith strong experience in machine learning frameworks, industrial automation, and database technologies. This role will focus on designing, building, andmaintainingdata pipelines, machine learning solutions, and automation scripts that support analytics, operational efficiency, and system integration-particularly within industrial or manufacturing environments.

Data Engineer Co-op Key Responsibilities

  • Design, develop, and deploy machine learning models to support predictive analytics, classification, and regression use cases.
  • Build andmaintaindata pipelines that integrate machine learning outputs into operational systems.
  • Develop andmaintainIgnition (Inductive Automation) scripts to automate workflows, trigger actions, and integrate data across systems.
  • Work with Ignition modules such as Vision, Perspective, and SQL Bridge to support SCADA and industrial automation solutions.
  • Write,optimize, andmaintaincomplex SQL queries, stored procedures, views, and triggers in MS SQL and Oracle databases.
  • Collaborate with cross-functional teams (engineering, operations, IT) to integrate data and automation solutions into existing infrastructure.
  • Ensure data quality, performance, and reliability across databases and analytics platforms.

Data Engineer Co-opRequired Skills & Qualifications

  • Second-semesterfreshmanstandingor higher
  • 2 GPAor higher

Machine Learning & Analytics

  • Experience with machine learning frameworks such as TensorFlow,PyTorch, Scikit-learn, orKeras.
  • Strong understanding of model training, evaluation, and optimization techniques (e.g., cross-validation, hyperparameter tuning).
  • Ability to deploy machine learning models into production environments.

Automation & Ignition

  • Hands-on experience with Ignition (Inductive Automation), including scripting and automation.
  • Proficiencyin Ignition scripting using Python (Jython).
  • Experience in integrating Ignition with databases and external systems.

Programming & Databases

  • Strongproficiencyin Python for data processing, automation, and machine learning.
  • Experience using R for statistical analysis and data visualization.
  • Advanced SQL skills with MS SQL and Oracle SQL.
  • Solid understanding of relational database design, data modeling, and performance tuning.

Data Engineer Co-op Preferred Qualifications

  • Experience in industrial, manufacturing, or automation-focused environments.
  • Familiarity with SCADA systems and operational technology (OT) data.
  • Experience integrating analytics or machine learning solutions into real-time systems.

What We Offer

  • Opportunity to work on data-driven automation and machine learning solutions.
  • Collaborative, cross-functional work environment
  • Exposure tocutting-edgeindustrial analytics and automation technologies

Atlas Total Compensation

  • Hourly Wages
  • Second Semester Freshman: $18-19/hr.
  • Sophomore: $19-21/hr.
  • Jr: $20-23/hr.
  • Senior: $21-25/hr.
  • Housing AssistanceProvided

Resume Submittal

  • Interested?Tosubmityour resume, scanbelow.

What Atlas Roofing Corporation employees say

Pay

Benefits

Hours and flexibility

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