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Pytorch Developer Jobs in Camden, NJ (NOW HIRING)

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

... 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.

Aptino

AI/ML Engineer

Malvern, PA · On-site

AI/ML Engineer Location: PA or NC Duration: 12+ months About the Role We are looking for a skilled ... Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. * Strong ...

Protiviti

Senior AI ML Cloud Developer

Philadelphia, PA · On-site

$55 - $72.75/hr

Proficiency in programming languages for AI development such as Python, R, or SQL, with experience in libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, etc. * Experience with ...

New

Roberthalf

Senior AI ML Cloud Developer

Philadelphia, PA · On-site

$55 - $72.75/hr

Proficiency in programming languages for AI development such as Python, R, or SQL, with experience in libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, etc. * Experience with ...

New

Deloitte

Generative AI Data Engineer III

Philadelphia, PA · On-site

$115K - $138K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow * Ability to ...

Forhyre

Prompt Engineers

Philadelphia, PA · On-site

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in Camden, NJ? For Pytorch Developer jobs in Camden, NJ, the most frequently searched job titles are:
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Pytorch Developer jobs near you
AI ML Python Developer PA ONSITE

AI ML Python Developer PA ONSITE

Kovan Technology Solutions

Middletown, PA • On-site

$48.50 - $66.75/hr

Contractor

Re-posted 5 days ago

Job description

Job Title: AI ML Python Developer 
Location: Middletown, Pennsylvania 17057 (Onsite 1 week per month)

Key Responsibilities:

  • Develop and deploy machine learning models focused on image processing, computer vision, and OCR.
  • Work with libraries such as OpenCV, Pillow, Tesseract, PaddleOCR, EasyOCR, or build custom models.
  • Collaborate with teams to define requirements and deliver robust AI solutions.
  • Optimize vision pipelines for performance and accuracy.
  • Maintain quality through code reviews and best software engineering practices.

Minimum Qualifications:

  • Strong Python programming and software development skills.
  • Experience as Machine Learning Vision Engineer 
  • Proven experience with image processing and computer vision libraries/tools.
  • Hands-on experience with OCR tools like Tesseract, PaddleOCR, or EasyOCR.
  • Familiarity with ML frameworks such as TensorFlow or PyTorch.
  • Experience in scalable software architecture and object-oriented programming.