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Remote Data Infrastructure Jobs in Florida (NOW HIRING)

AI/ML Engineer - Remote

Miami, FL · Remote

$200 - $350/hr

... proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Global Client Executive

Miami, FL · Remote

$73K - $99K/yr

Location: Remote (Preferred: Los Angeles, CA; New York, NY; Philadelphia, PA) Your Impact As a ... Working knowledge of cloud, data infrastructure, and enterprise technology platforms. Ready to Lead:

Senior Cloud Engineer (Remote)

Tampa, FL · On-site +1

$52.75 - $70.50/hr

The Cloud Operations and Data Quality Engineer is responsible for the deployment, monitoring, maintenance, and optimization of cloud infrastructure supporting Quest Diagnostics' Health Analytics ...

Senior Commercial Counsel (Remote)

Miami, FL · On-site +1

$133K - $181K/yr

... infrastructure company. You will juggle priorities independently, work directly with all Cyclops ... Advise on compliance matters in a range of topics including data privacy (e.g., GPDR), AML ...

Sr. Systems Engineer- Hybrid Remote

Tampa, FL · On-site +1

$95K - $130K/yr

... data center systems, cybersecurity stacks, and Virtual Training Environment (VTE) platforms ... Establishing Public Key Infrastructure to include, but not limited to, Certificate Authority ...

Showing results 41-60

Remote Data Infrastructure information

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.

What are the key skills and qualifications needed to thrive as a remote data infrastructure engineer?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What are the most commonly searched types of Data Infrastructure jobs in Florida?

The most popular types of Data Infrastructure jobs in Florida are:

What are popular job titles related to Remote Data Infrastructure jobs in Florida?

For Remote Data Infrastructure jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Data Infrastructure jobs in Florida look for?

The top searched job categories for Remote Data Infrastructure jobs in Florida are:

What cities in Florida are hiring for Remote Data Infrastructure jobs?

Cities in Florida with the most Remote Data Infrastructure job openings:

AI/ML Engineer - Remote

YO AI Labs

Miami, FL • Remote

$200 - $350/hr

Full-time

Posted 7 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.