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Cortex Jobs in Florida (NOW HIRING)

Engineer, AI/ML

Miami, FL · On-site

$120 - $180/hr

... Cortex, Anthropric, OpenAI, and Microsoft AI stack. This is more than an engineering role. It's an opportunity to help establish and shape our enterprise AI capability from the ground up. You will ...

New

Proficiency with Snowflake AI tooling and Cortex capabilities, Amazon Bedrock, AWS SageMaker, and ECS for AI/ML workloads * Hands-on experience with agentic frameworks: Snowflake Intelligence ...

Engineer, AI/ML

Miami, FL · On-site

$140 - $200/hr

... Cortex, Anthropric, OpenAI, and Microsoft AI stack. This is more than an engineering role. It's an opportunity to help establish and shape our enterprise AI capability from the ground up. You will ...

New

Senior Edge Engineer - Firmware & MCU

Largo, FL · On-site

$103K - $136K/yr

Day-to-day that means secure boot, signed firmware, MQTT-over-TLS to the cloud, and the field-side protocol layer (Modbus RTU, plus CAN bus where required) on our current ARM Cortex-M class device.

Day-to-day that means secure boot, signed firmware, MQTT-over-TLS to the cloud, and the field-side protocol layer (Modbus RTU, plus CAN bus where required) on our current ARM Cortex-M class device.

Senior Edge Engineer - Firmware & MCU

Largo, FL · On-site

$103K - $136K/yr

Day-to-day that means secure boot, signed firmware, MQTT-over-TLS to the cloud, and the field-side protocol layer (Modbus RTU, plus CAN bus where required) on our current ARM Cortex-M class device.

Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar. * Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repo ...

Showing results 21-40

Cortex information

See Florida salary details

$54.9K

$91.2K

$122.6K

How much do cortex jobs pay per year?

As of Sep 6, 2026, the average yearly pay for cortex in Florida is $91,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $105,400.00 per year, depending on experience, location, and employer.

What is a Cortex?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

What are the key skills and qualifications needed to thrive as a Cortex engineer, and why are they important?

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What job categories do people searching Cortex jobs in Florida look for?

The top searched job categories for Cortex jobs in Florida are:

What cities in Florida are hiring for Cortex jobs?

Cities in Florida with the most Cortex job openings:

Infographic showing various Cortex job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $91,175 per year, or $43.8 per hour.

$120 - $180/hr

Other

Posted 2 days ago

New


Carnival Cruise Line rating

8.1

Company rating: 8.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

3rd of 9 rated cruise lines


Job description

Shape the Future of Enterprise AI at Carnival Corporation

Are you passionate about building cutting-edge AI solutions that move beyond experimentation and into real-world impact? Carnival Corporation is seeking an innovative AI / ML Engineer to help design, build, and scale the next generation of intelligent systems that will transform how our corporate team’s work.

In this role, you will be a part of our Corporate Data & AI strategy team to develop production-grade AI products, multi-agent systems, machine learning models, and enterprise automation solutions leveraging the latest technologies including AWS Bedrock/Sagemaker, Snowflake Cortex, Anthropric, OpenAI, and Microsoft AI stack.

This is more than an engineering role. It's an opportunity to help establish and shape our enterprise AI capability from the ground up. You will have significant influence on architecture decisions, technology standards, deployment patterns, and AI best practices while helping build a growing AI engineering function that will drive innovation across one of the world's largest travel and hospitality companies.

Why Join Us?
  • Work with cutting-edge AI technologies including LLMs, agentic AI, multi-agent architectures, and enterprise-scale machine learning solutions.
  • Help build and shape a growing AI engineering team from the ground up, influencing strategy, standards, and technical direction.
  • Own the full lifecycle of AI solutions, from concept and experimentation to production deployment and optimization.
  • Tackle complex, high-impact business challenges and create solutions used across global corporate functions.
  • Collaborate with talented data, analytics, and business leaders who are committed to accelerating AI innovation.
  • Make a visible impact at enterprise scale while working in a fast-growing area of technology.
  • Be part of a company investing heavily in digital transformation and the future of intelligent automation.
Position Summary

The AI / ML Engineer is responsible for designing, developing, deploying, and maintaining AI solutions for Carnival Corporation's corporate functions. Working in close partnership with the data engineer team, this team takes curated, AI-ready data and transforms it into production-grade intelligent systems.

The ideal candidate brings hands‑on experience in conceptualizing, developing and deploying AI products, large language model orchestration, agentic workflow design, and the full lifecycle of deploying and maintaining AI solutions in cloud environments. This is a highly technical individual contributor role positioned at the intersection of applied artificial intelligence, machine learning, and enterprise automation.

The successful candidate will have the rare opportunity to help define the future of AI within the organization while contributing to the formation and growth of a world-class AI engineering team.

Qualifications
  • Bachelor’s degree in computer science, data science, or a related field. Master’s degree in machine learning, AI, computer science, statistics is a plus.
  • 5-6 years of experience in AI/ML engineering, data science, or a closely related software engineering discipline.
  • Demonstrated experience building and deploying production AI or ML systems.
  • Hands-on experience with cloud-based AI platforms.
  • Experience in a corporate or enterprise environment preferred.
  • Proficiency with Snowflake AI tooling and Cortex capabilities, Amazon Bedrock, AWS SageMaker, and ECS for AI/ML workloads.
  • Hands-on experience with agentic frameworks: Snowflake Intelligence, LangGraph, LangChain, AutoGen, or CrewAI.
  • Strong Python skills including experience with ML libraries and API development.
  • Experience with LLM orchestration, prompt engineering, and RAG patterns.
  • Familiarity with CI/CD pipelines and MLOps best practices.
  • Understanding of responsible AI principles, model governance, and data privacy standards.
  • Strong communication skills with ability to explain complex AI concepts to non-technical stakeholders.
  • AWS certifications (ML Specialty, Solutions Architect, or Developer).
  • Experience with multi-agent system design and orchestration at scale.
  • Exposure to hospitality, travel, or cruise industry environments.
  • Familiarity with Snowflake data sharing and S3-based data export patterns.
Travel

Less than 25% with shipboard travel likely.

Work Conditions

Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Physical Demands

Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.

This position is classified as "in-office". As an in-office role, it requires employees to work from a designated Carnival office in South Florida Monday through Thursday each week. Employees may work from their homes on Fridays. Candidates must be located in (or willing to relocate to) the Miami/Ft

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What Carnival Cruise Line employees say

Pay

Benefits

Hours and flexibility

Workplace

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