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Deep Learning Jobs in Miami, FL (NOW HIRING)

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Machine Learning * Deep Learning * Generative AI * Large Language Models (LLMs) * LangChain / LlamaIndex * Retrieval-Augmented Generation (RAG) * OpenAI API / Azure OpenAI * Vector Databases ...

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar * Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related ...

Personnel must be proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model ...

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

New

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

New

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

New

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

New

Showing results 41-60

Deep Learning information

See Miami, FL salary details

$10.5K

$80.2K

$133.9K

How much do deep learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for deep learning in Miami, FL is $80,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $132,900.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are popular job titles related to Deep Learning jobs in Miami, FL?

For Deep Learning jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Miami, FL look for?

The top searched job categories for Deep Learning jobs in Miami, FL are:

What cities near Miami, FL are hiring for Deep Learning jobs?

Cities near Miami, FL with the most Deep Learning job openings:

Infographic showing various Deep Learning job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $80,106 per year, or $38.5 per hour.

AI/ML Engineer

Vultus Inc

Miami, FL • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 23 days ago


Job description

AI/ML Engineer
Experience: 4–7 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Engineering

Job Summary

We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should have experience building scalable ML models, integrating Large Language Models (LLMs), and working with cloud-based AI services. You will collaborate with cross-functional teams to develop intelligent applications that solve real-world business problems.

Key Responsibilities
  • Design, develop, and deploy machine learning models.
  • Build and optimize Generative AI and LLM-based applications.
  • Fine-tune foundation models for business-specific use cases.
  • Develop Retrieval-Augmented Generation (RAG) pipelines.
  • Work with vector databases for semantic search applications.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Integrate AI models into production environments using APIs.
  • Monitor model performance and implement continuous improvements.
  • Collaborate with Product Managers, Data Scientists, and Software Engineers.
  • Maintain technical documentation and best practices.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • LangChain / LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • OpenAI API / Azure OpenAI
  • Vector Databases (Pinecone, FAISS, ChromaDB)
  • Prompt Engineering
  • TensorFlow / PyTorch
  • FastAPI
  • Docker
  • Git
Secondary Skills
  • SQL
  • Azure / AWS / GCP
  • Kubernetes
  • MLflow
  • Hugging Face Transformers
  • CI/CD Pipelines
  • REST APIs
  • Linux
  • Elasticsearch
  • Data Visualization (Power BI/Tableau)
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 4–7 years of experience in Machine Learning or AI development.
  • Strong programming skills in Python.
  • Experience with LLMs, RAG, and vector search implementations.
  • Knowledge of software development best practices and Agile methodologies.
  • Excellent problem-solving and communication skills.
Preferred Qualifications
  • Experience deploying AI applications on Azure or AWS.
  • Familiarity with MLOps tools and model monitoring.
  • Experience building AI-powered chatbots or intelligent assistants.
  • Relevant certifications in AI, Machine Learning, or Cloud technologies.
Salary

USD $120,000 – $150,000 per annum (Based on experience, skills, and location)

Benefits
  • Health, Dental, and Vision Insurance
  • Performance Bonus
  • Flexible Work Hours
  • Remote Work Options
  • Paid Time Off
  • Learning & Certification Reimbursement
  • Employee Wellness Programs
  • Career Growth Opportunities