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Tensorflow Pytorch Jobs in Philadelphia, PA (NOW HIRING)

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 ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA

Strong familiarity with ML tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch, Jupyter Notebooks) * Strong Python and SQL experience * Strong with ML tools (e.g., scikit-learn, Jupyter ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA · On-site

Strong familiarity with ML tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch, Jupyter Notebooks) * Strong Python and SQL experience * Strong with ML tools (e.g., scikit-learn, Jupyter ...

Photon

Enterprise Architect | USA

Philadelphia, PA

$69.75 - $89.75/hr

Solid grasp of AI/ML principles, frameworks (TensorFlow, PyTorch, Hugging Face), and deployment strategies such as MLOps. Strong experience with cloud platforms (AWS, Azure, GCP), containerization ...

Photon

Enterprise Architect | USA

Philadelphia, PA · On-site

$69.75 - $89.75/hr

Solid grasp of AI/ML principles, frameworks (TensorFlow, PyTorch, Hugging Face), and deployment strategies such as MLOps. Strong experience with cloud platforms (AWS, Azure, GCP), containerization ...

CVC - IT

AI Specialist - AIS 26-09273

Philadelphia, PA · On-site

TensorFlow, PyTorch, Keras, Scikit-learn * Big Data Tools: Apache Spark, Databricks * Development Tools: Jupyter Notebooks * Cloud Platforms: * AWS (SageMaker, EC2, S3) * Azure (Machine Learning ...

Tata Consultancy Service Limited

Data Scientist

Malvern, PA · On-site

$100K - $135K/yr

... TensorFlow/PyTorch. • Hands-on with S3, Glue, Athena, Redshift, Lambda, and CloudWatch. • Expertise in feature engineering, predictive modeling, and statistical analysis. • Experience with ...

Forhyre

Prompt Engineers

Philadelphia, PA

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Burro

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... TensorFlow, PyTorch, or similar. • Proven experience building, deploying and maintaining ML models in production, ideally on edge systems. • Hands-on experience working with camera and LiDAR data ...

Burro

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... TensorFlow, PyTorch, or similar. • Proven experience building, deploying and maintaining ML models in production, ideally on edge systems. • Hands-on experience working with camera and LiDAR data ...

SAP

SAP NS2 AI Consultant Specialist

Newtown Square, PA · On-site

... TensorFlow, PyTorch, etc. • Experience in applying recent research breakthroughs to real-world problems to create business value • Ability to obtain and maintain security clearance • Ability to ...

GATE 1 LTD

A.I. Manager

PA · On-site +1

Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools. * Experience working in ...

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools. * Experience working in ...

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Tensorflow Pytorch information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do tensorflow pytorch jobs pay per year?

As of Jul 30, 2026, the average yearly pay for tensorflow pytorch in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 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 are popular job titles related to Tensorflow Pytorch jobs in Philadelphia, PA? For Tensorflow Pytorch jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Philadelphia, PA look for? The top searched job categories for Tensorflow Pytorch jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Tensorflow Pytorch jobs? Cities near Philadelphia, PA with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Philadelphia, PA as of July 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $123,854 per year, or $59.5 per hour.

MLOPS Engineer

Siri InfoSolutions Inc

Malvern, PA • On-site

$50 - $60/hr

Contractor

Re-posted 7 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

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