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Pytorch Developer Jobs in Iselin, NJ (NOW HIRING)

Title - AI/ML - Data Engineer Role ( Must have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) Rate - $90 - $100/hr ( Depend on candidates ...

Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit ... Programming Languages: Python, Java, R (Preferred) * Frameworks: TensorFlow, PyTorch, Scikit-learn

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.

Senior AWS Python Developer

Newark, NJ · On-site

$127K - $171K/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

New York, NY · On-site

$132K - $178K/yr

... PyTorch Tensor Flow is strongly preferred Familiarity with the agile process stand ups planning ... engineering a plus Skills Mandatory Skills : AWS API Gateway, AWS Cloud Architecture, Python

Senior AWS Python Developer

Union, 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 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 Iselin, NJ?

For Pytorch Developer jobs in Iselin, NJ, the most frequently searched job titles are:

What cities near Iselin, NJ are hiring for Pytorch Developer jobs?

Cities near Iselin, NJ with the most Pytorch Developer job openings:

Infographic showing various Pytorch Developer job openings in Iselin, NJ as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

AI Developer/Framework Specialists

Tata Consultancy Service Limited

New York, NY • On-site

$100K - $115K/yr

Full-time

Re-posted 15 days ago


Job description

AI Developer/Framework Specialists
The Developer / Framework Specialist is a critical, high-impact role designed to bridge the gap between advanced modern technologies and day-to-day software engineering execution. Operating within our technology lab, you will be the driving force behind implementing robust development frameworks, establishing development lab standards, and unlocking the maximum potential of AI-assisted coding tools (specifically GitHub Copilot).
• Build AI-augmented development workflows
Use tools like GitHub Copilot, GenAI APIs, and automation scripts to accelerate coding and delivery.
• Develop AI-enabled features
Integrate ML/AI capabilities (chatbots, recommendation engines, NLP, predictive models) into applications.
• Automate SDLC Tasks using AI
Create solutions for:
• Code generation & refactoring
• Test case generation
• Bug detection & resolution
• CI/CD automation
• Implement AI in Testing
Develop self-healing test scripts, intelligent test coverage, and AI-based defect prediction.
• Work with Data & Models
• Prepare and process datasets
• Use APIs (OpenAI, Azure AI, Hugging Face)
• Deploy models for inference
• Integrate AI into DevOps Pipelines
Enable AIOps practices like monitoring, anomaly detection, and intelligent alerts.
• Ensure Code Quality & Security
Validate AI-generated code, follow secure coding practices, and adhere to compliance standards.
• Collaborate with Architects & Data Teams
Translate AI architecture into implementable solutions and contribute to continuous improvement.
Technical
• Programming: Python, Java, JavaScript
• AI/ML basics (NLP, APIs, model usage)
• Cloud: Azure / AWS / GCP
• DevOps: Git, CI/CD pipelines
• APIs & microservices
Tools
• GitHub Copilot / CodeWhisperer
• LangChain, vector databases
• ML libraries (TensorFlow / PyTorch basic)
• Testing frameworks (with AI plugins)
Salary Range- $100,000-$115,000 a year
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