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Pytorch Developer Jobs in New Jersey (NOW HIRING)

Genesis10

AI/ML Engineer

Pennington, NJ · On-site

... g., PyTorch, TensorFlow, scikit learn) • Experience working with LLMs, prompt engineering, or AI agent frameworks • Solid understanding of data processing and analytics using libraries such as ...

Prophecy Technologies

Data Scientist

Jersey City, NJ · On-site

Skill Requirements 1. - Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch. 2. - Proficient In Programming Languages Such As Python For Data Analysis And ...

Genesis10

Python AI Engineer - Orchestra

Pennington, NJ · On-site

... g., PyTorch, TensorFlow, scikit learn) • Experience working with LLMs, prompt engineering, or AI agent frameworks • Solid understanding of data processing and analytics using libraries such as ...

Thea Energy

Senior Plasma Control Engineer

Kearny, NJ · On-site

$120K - $160K/yr

Thea Energy is seeking a Sr. Plasma Control Engineer to develop and deploy novel plasma control ... Python, MATLAB, C++, PyTorch or TensorFlow or JAX, Jupyter • Data infrastructure: MDSplus, EPICS ...

Thea Energy

Senior Plasma Control Engineer

Kearny, NJ · On-site

$120K - $160K/yr

Thea Energy is seeking a Sr. Plasma Control Engineer to develop and deploy novel plasma control ... Python, MATLAB, C++, PyTorch or TensorFlow or JAX, Jupyter • Data infrastructure: MDSplus, EPICS ...

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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 New Jersey? For Pytorch Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in New Jersey look for? The top searched job categories for Pytorch Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Pytorch Developer jobs? Cities in New Jersey with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in New Jersey as of June 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

AI/ML Engineer (Hybrid)

Siritech Solutions Corp

Morris Plains, NJ

Full-time

Posted 23 days ago

Job description

Total Required Experience in Years: Minimum 10+ Years
Mode of Work: Hybrid (Local Candidates Only)
Job Description:Seeking an experienced AI/ML Engineer to design, develop, and optimize enterprise-grade Artificial Intelligence and Machine Learning solutions within healthcare environments. The ideal candidate should possess strong expertise in Python AI development, GPT/LLMs, machine learning frameworks, healthcare applications, and Generative AI technologies. This role requires building scalable and secure AI-driven healthcare solutions, designing enterprise-grade machine learning pipelines, integrating GPT-based models, and supporting ethical AI practices focused on privacy, fairness, and security. The candidate will collaborate within Agile teams to architect, develop, and deploy AI-powered applications, dashboards, APIs, and automation workflows that transform healthcare datasets into actionable business insights.

Key Responsibilities:

  • Design, build, and optimize scalable AI/ML solutions using GPT, LLMs, and machine learning technologies to solve healthcare-related business challenges
  • Develop enterprise-grade AI applications with strong focus on privacy, fairness, ethical AI, security, and compliance standards
  • Act as a Generative AI subject matter expert to architect and develop scalable, resilient AI solutions for enterprise healthcare applications
  • Design AI outputs using structured formats such as JSON, nested nodes, arrays, and HTML to support dashboard visualization and accelerated development cycles
  • Build extensible API integrations and low-code UI/UX-enabled AI solutions to integrate enterprise systems with GPT-based models and analytics workflows
  • Develop solutions that extract insights from multiple sources and present information in high-performing, intuitive dashboards
  • Translate business problems into AI-driven solution outcomes and actionable insights
  • Understand AI interpretation of datasets and develop effective prompt engineering strategies to generate expected business outcomes
  • Architect and develop distributed systems and scalable infrastructure supporting machine learning technologies and enterprise AI solutions
  • Develop, maintain, and optimize AI/ML pipelines including data preprocessing, feature extraction, model training, testing, and evaluation
  • Utilize machine learning frameworks such as TensorFlow, PyTorch, and open-source platforms like Hugging Face to deliver enterprise AI capabilities
  • Optimize generative AI models for performance, scalability, reliability, and operational efficiency


Additional Responsibilities:

  • Collaborate with product development, business, and technical teams within Agile environments
  • Support enterprise AI governance, responsible AI standards, and ethical deployment practices
  • Improve AI model performance through optimization, tuning, and experimentation initiatives
  • Support dashboard integrations, API orchestration, and scalable AI service deployments
  • Participate in continuous innovation and modernization of AI-driven healthcare systems


Required Skills:

  • Minimum 10 years of experience in software engineering, AI, machine learning, or related technical environments
  • Strong expertise in Python AI development, GPT, LLMs, and Generative AI technologies
  • Experience building healthcare-related AI/ML applications and enterprise healthcare solutions
  • Strong experience with TensorFlow, PyTorch, Hugging Face, and machine learning frameworks
  • Strong understanding of Natural Language Processing (NLP), generative models, and prompt engineering
  • Experience designing AI outputs in JSON, arrays, HTML, or structured formats for downstream systems and dashboards
  • Experience developing AI pipelines including preprocessing, feature engineering, model training, and evaluation
  • Strong API integration and scalable distributed system development experience
  • Strong analytical, problem-solving, and stakeholder collaboration skills
  • Experience building privacy-focused, secure, ethical, and responsible AI solutions


Qualifications:

  • Experience supporting healthcare environments and healthcare data-driven applications required
  • Strong expertise in Generative AI, GPT, and LLM-based enterprise solutions preferred
  • Experience working in Agile software development environments preferred
  • Local New Jersey candidates only required


Certifications:

  • AI/ML certification preferred
  • Python certification preferred
  • Cloud AI certification preferred