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Tensorflow Pytorch Jobs (NOW HIRING)

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 ...

Data AI/ML Engineer

Sunnyvale, CA · On-site

$100K - $105K/yr

Implementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch. * Building scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes ...

Good knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C, PySPARK ...

Sr. Software Engineer, Manufacturing Quality

Fremont, CA · On-site

$134.50K - $177.30K/yr

... TensorFlow, PyTorch, and scikit learn to create intelligent systems that drive business value • Create and iterate on a comprehensive evaluation framework for generative models, focusing on ...

Sr ML Engineer

Malvern, PA · On-site

$102.50K - $140.80K/yr

... TensorFlow / PyTorch / Scikit‑learn) Experience building scalable ML pipelines using SageMaker Pipelines, Feature Store, Model Registry Solid understanding of MLOps: CI/CD, model versioning ...

AI/ML Engineer - Plano, TX

Plano, TX

$110.10K - $132.20K/yr

Python programming Machine Learning & Deep Learning TensorFlow / PyTorch / Scikit-learn End-to-end ML pipeline development Model deployment & REST APIs SQL / NoSQL databases Data structures ...

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. * Strong understanding of machine learning algorithms, deep learning, and natural language ...

Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost. * Implement models in production environments using MLOps best practices (e.g ...

Computer Vision Engineer

Little Rock, AR · On-site +1

$106.90K - $126.10K/yr

Train and optimize deep learning models using frameworks like TensorFlow or PyTorch. Work with image and video datasets for preprocessing, augmentation, and annotation. Integrate vision models into ...

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Tensorflow Pytorch information

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$37.5K

$122.7K

$196.5K

How much do tensorflow pytorch jobs pay per year?

As of May 30, 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 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.

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 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.

More about Tensorflow Pytorch jobs
What cities are hiring for Tensorflow Pytorch jobs? Cities with the most Tensorflow Pytorch job openings:
What states have the most Tensorflow Pytorch jobs? States with the most job openings for Tensorflow Pytorch jobs include:
Infographic showing various Tensorflow Pytorch job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 90% Full Time, 4% Part Time, and 5% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
MLOPS Engineer

MLOPS Engineer

Siri InfoSolutions Inc

Malvern, PA • On-site

$50 - $60/hr

Contractor

Posted 6 days ago


Job description

Role: MLOps Engineer

Location: Malvern, PA / Raleigh, NC or USA Any LOcation (Onsite)

Duration: Contract

  • Knowledge of MLOps platforms
  • Good experience with Sage Maker
  • Proven 8+ years of professional experience across MLOps, DevOps, or similar disciplines.
  • Knowledge in the life cycle management of Machine Learning models.
  • Proficiency with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • An in-depth understanding of contemporary software engineering techniques.
  • Docker, Kubernetes, and/or Python or R expertise.
  • Expertise in cloud computing systems, including AWS, Azure, and GCP.
  • Working experience with version control systems such as Git, automation tools, and CI/CD pipelines

Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005