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Remote Deep Learning Engineer Jobs in Florida (NOW HIRING)

Machine Learning Tutor

Doral, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Tampa, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Orlando, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Miramar, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Miami, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Sunrise, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Hialeah, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Showing results 21-40

Remote Deep Learning Engineer information

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What cities in Florida are hiring for Remote Deep Learning Engineer jobs?

Cities in Florida with the most Remote Deep Learning Engineer job openings:

Machine Learning Engineer/Data Scientist

3B Staffing LLC

Tampa, FL • Remote

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

POSITION

Machine Learning Engineer/Data Scientist

LOCATION

Remote

DURATION

6-12 mo

INTERVIEW TYPE

Video

VISA RESTRICTIONS

None

REQUIRED SKILLS

Python

SQL

Data Science

NLP

Machine Learning

Required Capabilities:

  • True Data Scientist with strong NLP, not a software engineer.
  • SQL for Gridspsace opporability
  • Python
  • Nice to have domino lab

Introduction:

Join our dynamic team at Kforce, a leading player in the insurance industry, as a Data Scientist. You will be pivotal in enhancing our customer interactions by developing advanced data solutions focused on analyzing call quality within our contact center. This role requires a blend of expertise in Python, SQL, and NLP technologies to drive improvements and deliver actionable insights.

Responsibilities:

  • Data Analysis and Modeling: Utilize Python and SQL to gather, process, and analyze large datasets related to customer interactions within the contact center
  • Data Scientist, someone with strong SQL, Python, and NLP (e.g. Sentence Transformers) experience and is able to learn the quality space quickly

-NLP Implementations: Develop and implement NLP models to analyze and interpret complex linguistic data from customer calls, extracting insights to improve call quality and customer satisfaction.

Solution Development: Design and build scalable data solutions that integrate with existing contact center technologies to monitor, report, and improve call quality metrics.

Cross-functional Collaboration: Work closely with IT, customer service, and quality assurance teams to align data science projects with business objectives and ensure seamless implementation.

-Continuous Improvement: Monitor model performance and make continuous improvements, adapting to new challenges and changing business needs.

Reporting and Visualization: Create reports and dashboards for business stakeholders, providing clear visualizations and actionable insights from complex datasets.

Requirements:

Education & Experience:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in data science with a strong focus on Python and SQL.
  • Experience in applying NLP techniques in a business environment, preferably in a contact center or customer service setting.

Technical Skills:

  • Expertise in Python programming and familiarity with data science libraries (e.g., Pandas, NumPy, SciPy).
  • Proficient in SQL and experience with database management systems.
  • Hands-on experience with NLP tools and libraries (e.g., NLTK, spaCy, or Transformers).

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to translate complex data into actionable insights for non-technical stakeholders.

Technology:

  • We are looking for a data scientist
  • NLP
  • Other skills: SQL, Python, NLP, Automation
  • Domino Data Lab