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Pytorch Developer Jobs in Bronx, NY (NOW HIRING)

Senior AWS Python Developer

Corona, NY · On-site

$127K - $172K/yr

Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or ... Experience with media file formats, video engineering, or media processing systems is a plus.

Senior AWS Python Developer

Orange, NJ · On-site

$123K - $165K/yr

Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or ... Experience with media file formats, video engineering, or media processing systems is a plus.

Senior AWS Python Developer

Oradell, NJ · On-site

$123K - $166K/yr

Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or ... Experience with media file formats, video engineering, or media processing systems is a plus.

Showing results 41-60

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 cities near Bronx, NY are hiring for Pytorch Developer jobs?

Cities near Bronx, NY with the most Pytorch Developer job openings:

Senior AWS Python Developer

Techvilla Solutions

Manhattan, NY • On-site

$134K - $180K/yr

Full-time

Posted 7 days ago


Job description

Roles and Responsibilities
  • Design, develop, and maintain scalable, highly available, and high-performance software systems.
  • Write clean, efficient, well-tested, and reusable Python code following software engineering best practices.
  • Develop and maintain cloud-native applications using AWS services and serverless architectures.
  • Build and support event-driven architectures using message queues, topics, and asynchronous processing patterns.
  • Design and optimize NoSQL database solutions, including DynamoDB, and work with relational databases such as MSSQL and PostgreSQL.
  • Develop serverless applications using AWS Lambda, ECS, and AWS Step Functions.
  • Implement software design patterns and architecture best practices to create maintainable solutions.
  • Follow best practices for source control, automated testing, CI/CD pipelines, and deployment processes.
  • Define, package, and deploy cloud infrastructure using AWS CDK.
  • Collaborate with cross-functional teams to deliver high-quality solutions and meet project objectives.
  • Manage project priorities, timelines, and deliverables while contributing to team meetings and technical discussions.
  • Create technical documentation to support knowledge sharing and team collaboration.
  • Utilize AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot to improve engineering productivity.
  • Support deployment and management of applications in Kubernetes environments.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
  • 3+ years of professional experience developing production applications using Python.
  • Strong experience with AWS cloud services and cloud-native application development.
  • Experience designing and developing solutions using NoSQL databases (DynamoDB).
  • Experience with relational databases such as MSSQL and PostgreSQL is preferred.
  • Hands-on experience building serverless applications using AWS Lambda, ECS, and Step Functions.
  • Strong understanding of event-driven architecture, messaging systems, and distributed application design.
  • Experience with Git, unit testing, test-driven development (TDD), and CI/CD practices.
  • Knowledge of Kubernetes deployment and cloud infrastructure management preferred.
  • Experience with AWS CDK and infrastructure-as-code practices preferred.
  • Familiarity with AI application development using platforms such as AWS Bedrock, Vertex AI, or Azure AI preferred.
  • Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or TensorFlow preferred.
  • Familiarity with Agile development methodologies, including stand-ups, sprint planning, estimation, and demos.
  • Strong written and verbal communication skills.
  • Experience with media file formats, video engineering, or media processing systems is a plus.