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Pytorch Developer Jobs in Wayne, PA (NOW HIRING)

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.

Sr ML Engineer

Malvern, PA · On-site

$102K - $140K/yr

Job Title: Sr ML Engineer Location: CITY - Malvern, PA Duration: 6 months Experience Required: 8-10 ... PyTorch / Scikit‑learn) Experience building scalable ML pipelines using SageMaker Pipelines ...

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 ...

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

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 Wayne, PA? For Pytorch Developer jobs in Wayne, PA, the most frequently searched job titles are:
What cities near Wayne, PA are hiring for Pytorch Developer jobs? Cities near Wayne, PA with the most Pytorch Developer job openings:
MLOPS Engineer

MLOPS Engineer

Siri InfoSolutions Inc

Malvern, PA • On-site

$50 - $60/hr

Contractor

Posted 15 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