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Tensorflow Pytorch Jobs (NOW HIRING)

Aismm

AI/ML Engineer

Manhattan, NY · On-site

$90 - $120/hr

Requirements Experience with Python, TensorFlow, PyTorch, and NLP . Strong background in data science and deep learning. Ability to process large datasets for AI training. #J-18808-Ljbffr

New

Jobtailor

Principal AI/ML Engineer

Manhattan, NY · On-site

$180 - $260/hr

Expertise in Python and ML frameworks including TensorFlow, PyTorch, JAX, and Hugging Face Transformers * Strong background in computer vision, NLP, generative AI, or reinforcement learning

CYNET SYSTEMS

ML Engineer

Santa Clara, CA · On-site

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. * Architect and implement ...

BitWords Inc.

AI/ML Engineer

San Francisco, CA · On-site

$140 - $200/hr

  • Medical

  • Dental

  • Vision

  • PTO

Experience with deep learning frameworks (TensorFlow, PyTorch) * Knowledge of MLOps tools and practices * Experience deploying models to production environments * Understanding of distributed ...

New

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Hands-on experience with TensorFlow, PyTorch, or Scikit-learn. * Knowledge of statistics, probability, and linear algebra. * Experience with SQL and NoSQL databases. * Familiarity with REST APIs and ...

1 point system

Senior Data Scientist

New York, NY · Remote

Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc). * Experience in developing and deploying solutions ...

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

... TensorFlow PyTorch Scikit-learn Data Preprocessing & Feature Engineering Model Training, Validation & Evaluation Statistics & ML Algorithms MLOps CI/CD Pipelines Docker Kubernetes REST APIs ...

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Proficiency with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn. * An in-depth understanding of contemporary software engineering techniques. * Docker, Kubernetes, and/or ...

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker

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Tensorflow Pytorch information

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How much do tensorflow pytorch jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tensorflow pytorch in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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.

More about Tensorflow Pytorch jobs

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

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Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Lead Enterprise Solutions Architect

William Blair

Chicago, IL • Hybrid

Full-time

Re-posted 4 days ago

Job description

We are seeking a hands-on Solution Architect to lead the design and implementation of AI-ready cloud platforms and data solutions within our Azure ecosystem. This role is responsible for modernizing our technology stack with an AI-first approach, enabling scalable, secure, and intelligent applications. The ideal candidate is an experienced cloud and data architect with deep expertise in Azure services who thrives in a fast-paced, agile environment.

Essential Responsibilities

  • Design and implement environments for data analytics platforms leveraging Azure services. Establish governance, security and deployment frameworks for data pipelines, data lakes, as well as Python Spark and non-Spark Python applications.
  • Optimize data ingestion, processing, and storage for real-time analytics and AI applications.
  • Evaluate and recommend emerging cloud, data and AI technologies that align with business goals.
  • Ensure data quality, governance, and compliance while implementing ETL/ELT and data integration workflows.
  • Design and optimize serverless and containerized solutions using AKS, Function apps, and other Azure components.
  • Troubleshoot and resolve complex technical issues
  • Mentor and train team members throughout the organization
  • Collaborate with other architects, developers, engineering leaders, directors, etc.
  • Develop best-practices and guidelines for cloud development and data engineering.

Required Qualifications & Skills

  • Deep experience in cloud architecture, data engineering and software development
  • Extensive knowledge of Azure ecosystem, Synapse or Databricks or Fabric, Azure Data Lake, Azure Kubernetes, Azure Functions, Azure App services, Event Grid, Key Vault, Application Insights and Azure Log Analytics
  • Strong proficiency in Python (primary), with working knowledge of C#
  • Familiarity with enterprise architecture tools, related graphical models, and frameworks
  • Strong background in SQL and NoSQL databases, including data architecture, modeling and query 
  • Strong problem-solving, communication, and stakeholder management skills

Preferred Skills

  • Open AI, AI Foundry, AI/ML frameworks (TensorFlow, PyTorch)
  • Experience with AI/ML frameworks (OpenAI, TensorFlow, PyTorch) and LLM implementations.

Education & Experience:

  • Bachelor's degree in information technology or related subject matter required
  • 5+ years of experience architecting and designing cloud and data solutions
  • Financial services environment preferred
  • Multiple relevant certifications preferred

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