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Remote Machine Learning Architect Jobs in Florida

Lee Health

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Master's degree in Computer Science, Machine Learning, or related discipline preferred. Experience ...

FIS

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Worldpay, Inc.

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

Phsorg

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish a multi-year roadmap for AI, machine learning, generative AI, workflow automation, and ... Architecture, Platforms & Technology Governance * Define enterprise architecture standards ...

AIS (Applied Information Sciences)

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • PTO

Support annotation of datasets and development of machine learning models, including training and ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

FitMatch

Technical Product Manager

Fort Lauderdale, FL · On-site +1

$159K - $183K/yr

Partner directly with engineering on system design and architecture decisions, understanding trade ... A minimum of 2 years of professional experience with computer vision, machine learning, or 3D ...

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Remote Machine Learning Architect information

What is a remote machine learning architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

How does a remote machine learning architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What are the key skills and qualifications needed to thrive as a remote machine learning architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What are popular job titles related to Remote Machine Learning Architect jobs in Florida?

For Remote Machine Learning Architect jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Architect jobs in Florida look for?

The top searched job categories for Remote Machine Learning Architect jobs in Florida are:

What cities in Florida are hiring for Remote Machine Learning Architect jobs?

Cities in Florida with the most Remote Machine Learning Architect job openings:

Remote Machine Learning Architect jobs near you

Cloud Engineer - Azure

Lee Health

Fort Myers, FL • On-site, Remote

$78K - $101K/yr

Full-time

Re-posted 19 days ago

Lee Health rating

7.0

Company rating: 7.0 out of 10

Based on 198 frontline employees who took The Breakroom Quiz

414th of 889 rated healthcare providers

Job description

Location: Remote - Florida
Department: IS Information Technology Svcs
Work Type: Full Time
Shift: Shift 1/8:00:00 AM to 4:30:00 PM
Minimum to Midpoint Pay Rate: $78,457.60 - 101,982.40 / Annual
Summary
Lee Health is seeking an innovative Cloud Engineer to design, build, and maintain secure, scalable, and high-performing cloud systems that power our digital and AI transformation. In this role, you'll architect and manage cloud infrastructure across private, public, and hybrid environments-enabling advanced data management, automation, and application deployment. Collaborating with IT, AI, and data science teams, you'll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing initiatives.
If you're passionate about driving innovation through cloud engineering and emerging technologies, this is an exceptional opportunity to shape the next generation of healthcare technology.
What You'll Do
  • Design & Build: Develop scalable, secure, and cost-effective cloud architectures using AWS, Azure, or GCP.
  • Migrate & Modernize: Lead cloud migration projects for data, systems, and applications while ensuring minimal disruption.
  • Automate & Optimize: Implement Infrastructure-as-Code (IaC), automate deployment pipelines, and streamline configuration management.
  • Innovate with AI: Partner with data science and AI teams to develop infrastructure for AI/ML experimentation and production deployment.
  • Ensure Compliance & Security: Maintain adherence to data privacy standards, IAM, encryption, and regulatory compliance (HIPAA, HITRUST).
  • Monitor & Improve: Oversee cloud utilization, troubleshoot performance issues, and develop disaster recovery strategies.
  • Collaborate & Lead: Act as a bridge between development and infrastructure teams, fostering a DevSecOps culture and continuous improvement mindset.
Qualifications
Education:
  • Bachelor's degree in Computer Science, Engineering, or related field required.
  • Master's degree in Computer Science, Machine Learning, or related discipline preferred.

Experience:
  • 2+ years designing, building, and supporting private or hybrid cloud environments.
  • Proven experience with DevOps and automation (IaC, CI/CD, scripting in PowerShell, Python, or Shell).
  • Strong grasp of cloud security, IAM, networking, and monitoring tools.
  • Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts.
  • Experience supporting AI/ML model deployment, fine-tuning, or integration is a plus.
  • Familiarity with healthcare data standards (HIPAA, HL7, FHIR) preferred.

Certifications (one or more required):
  • Microsoft Certified Azure AI Fundamentals or AI Engineer Associate
  • AWS Certified Machine Learning Engineer
  • Microsoft Azure Security Certification

Preferred Certifications:
  • HITRUST Practitioner, NIST AI RMF Architect, or Artificial Intelligence Engineer Certification
Why Join Lee Health
At Lee Health, innovation meets compassion. As we advance our journey toward smarter, data-driven healthcare, you'll have the opportunity to work with emerging technologies, contribute to transformative AI initiatives, and make a lasting impact on patient care. Join a health system recognized for excellence, collaboration, and continuous learning.

What Lee Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Lee Health

Sourced by ZipRecruiter

Lee Health is one of the largest public health systems in the U.S. and one of the largest not-for-profit public health systems in Florida. With 4 acute care hospitals; Lee Memorial, Healthpark Medical Center, Cape Coral Hospital and Gulf Coast Medical Center, two specialty hospitals; Gaisano Children's Hospital and The Rehab Hospital. Lee Physician Group with over 80 practices throughout Southwest Florida, a Regional Cancer Center, seven outpatient centers, three walk-in clinics and two pediatric outpatient facilities. HEALTHGRADES ranks Lee Healths four acute care hospitals in the top 5% in the nation for overall clinical excellence in 2019, 2020, 2021 AND 2022 and is included in America's 250 Best Hospitals

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Fort Myers, FL, US

Year founded

1916

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