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Tensorflow Pytorch Jobs in Plantation, FL (NOW HIRING)

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL · On-site

Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch. * Application & API Development: Familiarity with RESTful APIs, microservices architecture ...

Pae

Assessment Integrator (SME)

Doral, FL · On-site

Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be beneficial depending on further responsibilities. * Familiarity with version control and DevOp tools ...

Deloitte

Cyber - SecOps - Consultant

Miami, FL · On-site

Experience using Python machine learning and deep learning frameworks and libraries, including PyTorch, Keras, TensorFlow, scikit-learn, NumPy, and SciPy * Experience designing and implementing ...

Atlas Air

Staff Data Scientist

Miami, FL · On-site

Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.). * Strong knowledge of statistical analysis and ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Plantation, FL

Tensorflow Pytorch information

See Plantation, FL salary details

$37.2K

$121.9K

$195.2K

How much do tensorflow pytorch jobs pay per year?

As of Aug 10, 2026, the average yearly pay for tensorflow pytorch in Plantation, FL is $121,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What are popular job titles related to Tensorflow Pytorch jobs in Plantation, FL? For Tensorflow Pytorch jobs in Plantation, FL, the most frequently searched job titles are:
What cities near Plantation, FL are hiring for Tensorflow Pytorch jobs? Cities near Plantation, FL with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Plantation, FL as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $121,915 per year, or $58.6 per hour.

Junior AI Engineer - Co-op

Rialto Capital

Miami, FL • On-site

Full-time

Re-posted 9 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.

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