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Pytorch Developer Jobs in Miami, FL (NOW HIRING)

... PyTorch. * Application & API Development: Familiarity with RESTful APIs, microservices architecture, and deployment tools. Experience with frontend frameworks (React, Vue) is a plus. * Cloud & DevOps ...

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the ... Proficiency in Python and practical experience with deep learning frameworks such as Pytorch or ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$71K - $96K/yr

More typical DevOps responsibilities for software development as required. Requirements Required ... Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar) * Experience building CI ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

More typical DevOps responsibilities for software development as required. Requirements Required ... Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar) * Experience building CI ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

More typical DevOps responsibilities for software development as required. Required Qualifications ... Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar) * Experience building CI ...

Hands-on experience with LLMs, prompt engineering, or AI/ML frameworks (PyTorch, TensorFlow, LangChain, or similar) * Familiarity with APIs, databases (SQL and/or NoSQL), and cloud platforms (AWS ...

AI engineer

Fort Lauderdale, FL · Remote

$109K - $131K/yr

Job#: 3030923 AI Engineer Location: REMOTE Employment Type: Contract to Perm Role Overview This is ... Strong proficiency in Python and at least one ML framework such as PyTorch, TensorFlow, scikit ...

AI Operator / Engineer

Miami, FL · On-site

$70K - $110K/yr

Hands-on experience with LLMs, prompt engineering, or AI/ML frameworks (PyTorch, TensorFlow, LangChain, or similar) * Familiarity with APIs, databases (SQL and/or NoSQL), and cloud platforms (AWS ...

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the ... Proficiency in Python and practical experience with deep learning frameworks such as Pytorch or ...

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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 cities near Miami, FL are hiring for Pytorch Developer jobs? Cities near Miami, FL with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Miami, FL as of May 2026, with employment types broken down into 81% Full Time, 7% Part Time, 1% Temporary, and 11% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Junior AI Engineer - Co-op

Junior AI Engineer - Co-op

Rialto Capital

Miami, FL • On-site

Full-time

Posted 7 days ago


Job description

KEY RESPONSIBILITIES:
  • LLM & Generative AI Application Development:
    Assist in designing and implementing web and API-based applications that incorporate generative AI capabilities, leveraging frameworks like LangChain to streamline development.
  • Software Integration & Deployment:
    Collaborate with cross-functional teams to integrate AI-powered features into existing platforms and tools. Contribute to the deployment of these applications in production environments, ensuring performance and scalability.
  • Data Handling & Preprocessing:
    Support data-related tasks-such as ingestion, cleaning, and organization-to ensure that LLM-powered applications have the right data at the right time.
  • Prototype & Experimentation:
    Participate in rapid prototyping of new generative AI features, running experiments and analyzing performance metrics to guide iterative improvements.
  • Collaboration & Communication:
    Work alongside IT, Product, and Data Analytics teams to gather requirements, troubleshoot issues, and effectively communicate technical solutions to both technical and non-technical stakeholders.

SPECIFICATIONS:
  • Open to Undergraduate and Graduate students preferred:
    Majors in Computer Science / Engineering or related fields.
  • Programming Fundamentals:
    Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch.
  • Application & API Development:
    Familiarity with RESTful APIs, microservices architecture, and deployment tools. Experience with frontend frameworks (React, Vue) is a plus.
  • Cloud & DevOps Exposure:
    Basic understanding of cloud platforms (Azure, AWS, or GCP), containerization (Docker), and CI/CD pipelines.
  • Data Proficiency:
    Working knowledge of SQL or other data query languages. Experience with data wrangling and version control (Git) is helpful.
  • Generative AI Interest:
    Demonstrated curiosity about or experience with LLMs, prompt engineering, or other generative AI techniques. Experience with LangChain is a strong plus.
  • Detail-Oriented:
    Exhibits precision when developing and testing AI-driven applications.
  • Team-Focused & Collaborative:
    Enjoys working in a cross-functional environment and learning from senior engineers.
  • Adaptable & Innovative:
    Embraces new challenges in a fast-evolving AI landscape, proposing creative solutions and improvements.
  • Positive Attitude & Enthusiasm:
    Approaches tasks with energy, resilience, and a desire to learn.
  • Strong Interest in Real Estate & Alternative Investments (Preferred):
    Not required, but helpful for understanding the business context of AI solutions at Rialto.

While performing the duties of this job, the Associate is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop. The Associate must occasionally lift and/or move up to 25 pounds. Evening or weekend work may be necessary to meet deadlines.
This description outlines the basic tasks and requirements for the position noted. It is not a comprehensive listing of all job duties.
Rialto Capital is committed to the principles of Equal Employment Opportunity. Our policy is to provide equal employment opportunity to all applicants and Associates without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age (40+), disability, veteran status, genetic information (including family medical history), or any other legally protected status.
Our company uses E-Verify to confirm the employment eligibility of all newly hired employees.
To learn more about E-Verify, including your rights and responsibilities please visit: e-verify.gov.