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Pytorch Developer Jobs in Wayne, PA (NOW HIRING)

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Engineer scalable training, inference, and retraining workflows using AWS SageMaker. * Develop and ... Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn,PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

As a Senior Machine Learning Ops Engineer, you will bridge Data Science and Engineering to develop ... g., PyTorch, TensorFlow, PySpark. • Experience with large-scale data processing systems, e.g ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

In this role, the Senior Machine Learning Engineer will bridge Data Science and Engineering to ... g., PyTorch, TensorFlow, PySpark. • Experience with large-scale data processing systems, e.g ...

... PyTorch, and Scikit-learn. • Strong understanding and experience in AWS Machine Learning Stack ... engineering principles including testing, version control (e.g., Git), and security. • ...

Senior Data Analyst

Moorestown, NJ · On-site

$84K - $107K/yr

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering ... Hands-on experience with PyTorch and related Python libraries * Experience with unsupervised ...

Senior Data Analyst

Moorestown, NJ · On-site

$84K - $107K/yr

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering ... Hands-on experience with PyTorch and related Python libraries * Experience with unsupervised ...

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

They are seeking a Senior Robotics AI Engineer to own and evolve the intelligence behind robot ... PyTorch, or similar. • Proven experience building, deploying and maintaining ML models in ...

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

They are seeking a Senior Robotics AI Engineer to design, deploy, and optimize AI systems for robot ... PyTorch, or similar. • Proven experience building, deploying and maintaining ML models in ...

... Engineer to design and develop AI and Machine Learning solutions specifically for banking ... TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone, FAISS • Cloud ...

Showing results 21-40

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 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 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 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:

Senior Machine Learning Engineer

Vangard, Inc.

Malvern, PA • On-site

$102K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

CoreResponsibilities

  • Design, build, and maintain end-to-end machine learning pipelines from research through production deployment.
  • Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
  • Develop and maintain feature engineering, feature storage, and data preparation pipelines.
  • Automate model deployment, testing, validation, and release processes using CI/CD practices.
  • Build batch, real-time, and event-drivenarchitectures.
  • Implement model monitoring for performance, drift detection, data quality, and operational health.
  • Partner with quantitative researchers and data scientists toproductionalizeresearch models.
  • Manage model versioning, lineage tracking, experiment management, and reproducibility.
  • Optimize model performance, scalability, reliability, and cloud cost efficiency.
  • Establish engineering standards, testing frameworks, and governance controls for ML solutions.
  • Support production operations, incident response, and continuous improvement of deployed models.

Required Qualifications:

  • Minimum of eight years related work experience, with at least three years of development experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline.
  • Strong experience building and deploying machine learning solutions in production environments.
  • Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn,PyTorch, TensorFlow, or similar).
  • Hands-on experience with AWS services, including SageMaker
  • Experience building and maintaining machine learning pipelines, feature engineering workflows, and model deployment processes.
  • Knowledge ofMLOpspractices, including CI/CD, model versioning, experiment tracking, monitoring, and automated retraining.
  • Strong understanding of software development lifecycle practices, testing strategies, and production support.
  • Ability to work effectively with researchers, data scientists, and business stakeholders to deliver business outcomes.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.