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Pytorch Developer Jobs in Miami, FL (NOW HIRING)

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking ... Experiencewith ML frameworks such as TensorFlow, PyTorch, or Scikit-learn * Familiaritywith data ...

Senior Computer Vision Engineer ID72408

Miami, FL · On-site

$99K - $137K/yr

You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML ... Engineers located in the US must reside in Dallas, TX , and be open to working from the office ...

Senior Computer Vision Engineer ID72408

Miami, FL · On-site +1

$99K - $137K/yr

You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML ... Engineers located in the US must reside in Dallas, TX , and be open to working from the office ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master ...

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications ... Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field;

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Role - AI Engineer Experience Required -8+ Years We are seeking a highly skilled AI Engineer with ... NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • ...

... PyTorch or TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • ...

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

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

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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 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 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 August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Lead Machine Learning Engineer

Conch Technologies

Fort Lauderdale, FL • On-site

$97K - $128K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Title: Lead Machine Learning Engineer 

LocationFt. Lauderdale, FL - 4 days onsite 

Type: 6+months

Job description:

·They are seeking an experienced Lead Machine Learning Engineer to lead the development and operationalization of machine learning solutions that power Customer 360, recommendation engines, customer intelligence, personalization, and next-generation AI experiences.

·The ideal candidate has successfully built recommendation engines, customer prediction models, and AI-driven solutions in highly scalable customer-centric environments.

·8+ years of Machine Learning Engineering or Applied AI experience.

·3+ years in a Lead, Principal, or Senior Technical Leadership role.

·Proven experience delivering production-grade machine learning systems.

·Strong expertise with: Databricks, Mlflow, Python, Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn), Real-time inference architectures

·Experience building: Recommendation systems, Personalization engines, Predictive analytics solutions, and Customer intelligence platforms

·Pluses:

·Customer 360 implementation experience.

·Identity Graph experience.

·Hospitality, Gaming, Entertainment, Retail, Loyalty, or Consumer Digital experience.


Thanks & Regards,

Chebolu Raviteja (Lead Recruiter)
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Conch Technologies, Inc |