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Pytorch Developer Jobs in Florida (NOW HIRING)

Purple Drive Technologies

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Job Title: Python AI/ML Engineer - AI & Automation Location: Tampa, FL (Local candidates only ... Hands-on expertise with TensorFlow, PyTorch, or Scikit-Learn . * Strong understanding of ...

Capgemini

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

Tata Consultancy Service Limited

Java Developer

Tampa, FL · On-site

$90K - $115K/yr

... programming languages. * Proficiency with tools and LLMs. * Ability to work independently and ... Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On ...

United Airlines

AI Solutions Developer

Tampa, FL

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

Frontier Technology Inc.

AI/ML Engineer

Tampa, FL · Remote

$140K - $220K/yr

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Frontier Technology Inc.

AI/ML Engineer

Tampa, FL · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Tampa, FL · On-site +1

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Tampa, FL · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Marencor

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Extensive experience with machine learning libraries and frameworks, including PyTorch and TensorFlow. * Solid understanding of machine learning algorithms and data preprocessing techniques.

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner with companies pushing the boundaries of technology - and we're looking ... Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn * Familiarity with data ...

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Role - AI Engineer Experience Required - 8+ Years Must Have Technical/Functional Skills AI, Machine ... NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • ...

Maximus

AI/ML Software Developer

Lake Worth, FL · Remote

... PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated ...

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Pytorch Developer information

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 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 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 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 Florida? For Pytorch Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Florida look for? The top searched job categories for Pytorch Developer jobs in Florida are:
What cities in Florida are hiring for Pytorch Developer jobs? Cities in Florida with the most Pytorch Developer job openings:
Pytorch Developer jobs near you

Sr. Java Developer with strong AI/ML exp

Saransh Inc

Lake Mary, FL • On-site

$50 - $63.75/hr

Contractor

Posted 5 days ago

Job description

Role: Sr. Java Developer with strong AI/ML exp
Location: Lake Mary, FL (Onsite from Day 1)
Job Type: Long Term Contract
 
Job Description:
 
Relevant Experience: 10+ Years

Technologies:

  • Transaction Monitoring AML, Fraud, Sanctions Screening OFAC, CDD KYC, Trade Surveillance, Financial Crimes Risk Assessment.
  • Python NumPy, Pandas, TensorFlow/PyTorch.
  • Java Spring Boot, multithreading, JVM optimization.

Required Skills:

  • 10 or more years of experience in data science.
  • Ability to work effectively in a dynamic group that has several concurrent projects.
  • Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
  • Machine learning Artificial Intelligence Implement algorithms and statistical models to automate data analysis, data profiling and data validation.
  • Develop programs and analyze large datasets to uncover answers to complex problems. Should be comfortable writing code and working in a variety of programming languages, such as Java, Python, and SQL
  • Hands on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine tuning, or agent-based architectures.
  • Experience with AI frameworks like Langchain, Llama Index, OpenAI, or similar tools.
  • Proficient with Java, Python, SQL.
  • Build APIs and microservices to support AI functionalities.
  • Optimize code for performance, scalability, and reliability.
  • Participate in code reviews, testing, and debugging.
  • Exposure to MLOps practices and tools.
  • Proficiency in Python NumPy, Pandas, TensorFlow/PyTorch, etc.
  • Strong knowledge of Java Spring Boot, multithreading, JVM optimization
  • Experience with RESTful APIs, cloud platforms (either AWS, GCP, or Azure), and containerization Docker, Kubernetes
  • Familiarity with version control systems Git and CI CD pipelines.
  • Experience with AI/ML frameworks and libraries.
  • Knowledge of data engineering tools e.g., Apache Kafka, Spark
  • NumPy, Pandas, TensorFlow/PyTorch, etc
  • Spring Boot, multithreading, JVM optimization.
  • Experience with AI ML frameworks and libraries.
  • Data engineering tools (e.g., Apache Kafka, Spark).
  • Experience preferably in one or many of these Transaction Monitoring AML, Fraud, Sanctions Screening OFAC, CDD KYC, Trade Surveillance, Financial Crimes Risk Assessment.