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Ml Infrastructure Jobs in Florida (NOW HIRING)

Catalyst Labs

ML Engineer

Miami, FL · On-site

... ML infrastructure and processes for scalability and performance. Qualifications : Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ...

Catalyst Labs

ML Engineer

Jacksonville, FL · On-site

... ML infrastructure and processes for scalability and performance. Qualifications : Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ...

Catalyst Labs

ML Engineer

Tampa, FL · On-site

... ML infrastructure and processes for scalability and performance. Qualifications : Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ...

Prescient Edge

ML Administrator

Doral, FL · On-site

Shall implement and monitor ML infrastructure, optimizing compute resource allocation across cloud and on-premises environments. * Shall submit the ML Model Governance & Deployment Report ...

Raft

ML Ops Engineer

Tampa, FL · On-site

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

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Ml Infrastructure information

What is ML infrastructure?

ML Infrastructure refers to the underlying systems, tools, and processes that enable the development, deployment, and scaling of machine learning models. This includes data storage and management, computing resources, model training and serving environments, monitoring, and automation tools. ML Infrastructure ensures that data scientists and engineers can efficiently build, test, and maintain machine learning applications in a reliable and reproducible manner. It is a crucial foundation for organizations looking to operationalize AI and machine learning solutions at scale.

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

Professionals in ML Infrastructure often encounter challenges related to scaling systems to handle large volumes of data, ensuring reliable deployment pipelines, and maintaining reproducibility across different environments. They must also collaborate closely with data scientists and engineers to streamline workflows and address issues like version control and model monitoring. Staying updated with rapidly evolving tools and best practices is essential, and balancing stability with innovation is a frequent aspect of the role.

What are the key skills and qualifications needed to thrive as an ML infrastructure engineer, and why are they important?

To thrive as an ML Infrastructure Engineer, you need a strong background in software engineering, cloud computing, and machine learning concepts, often supported by a degree in computer science or a related field. Proficiency with containerization tools (like Docker and Kubernetes), cloud platforms (such as AWS, GCP, or Azure), and CI/CD systems is critical. Excellent problem-solving, collaboration, and communication skills help you efficiently work with data scientists and DevOps teams. These skills and qualities are vital for building scalable, reliable ML systems that support rapid experimentation and deployment in production environments.

What is the difference between Ml Infrastructure vs Data Engineer?

AspectML InfrastructureData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of cloud platformsBachelor's in CS, Software Engineering, or related; experience with databases and ETL tools
Work EnvironmentFocus on deploying and maintaining ML systems, cloud environments, and infrastructure toolsDesigning, building, and managing data pipelines and storage solutions
Industry UsageUsed in AI/ML teams to support model deployment and scalabilityUsed across data-driven organizations for data management and analytics

ML Infrastructure specialists focus on deploying, scaling, and maintaining machine learning systems and infrastructure, while Data Engineers primarily build and manage data pipelines and storage solutions. Both roles require technical skills and often collaborate, but their core responsibilities differ in focus and tools used.

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

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

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

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

What cities in Florida are hiring for Ml Infrastructure jobs?

Cities in Florida with the most Ml Infrastructure job openings:

Ml Infrastructure jobs near you
Infographic showing various Ml Infrastructure job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Staff AI/ML Infrastructure Engineer

West Palm Beach, FL • On-site

Kforce Technology Staffing
IT Services • 1 - 5K employees
Learn more about Kforce Technology Staffingexternal

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in West Palm Beach, FL that is seeking a Staff AI/ML Infrastructure Engineer.
Key Responsibilities:
* Design and maintain GPU and bare metal infrastructure in containerized and physical environments
* Build scalable GPU clusters in partnership with networking and provisioning teams
* Ensure reliable, high-performance provisioning of GPU infrastructure
* Develop automated testing systems for GPU-based platforms
* Implement infrastructure solutions for diverse AI/ML workloads
* Benchmark, test, and troubleshoot GPU performance at scale
* Collaborate with hardware vendors on drivers, firmware, and support
* Resolve hardware, software, and performance issues across environments
* Optimize rail and cluster performance across architectures
* Lead technical direction and mentor engineers on infrastructure best practices
REQUIREMENTS:
* 5+ years experience working with bare metal infrastructure and hardware automation
* Hands-on experience with modern NVIDIA/AMD GPU platforms and high-performance networking (RoCE, InfiniBand)
* Deep knowledge of BIOS, BMC, firmware, NICs, Redfish/IPMI, and PCIe systems
* Strong Linux systems experience including device drivers and package management
* Experience building infrastructure automation using Python and Bash
* Familiarity with GPU drivers, firmware ecosystems, and vendor collaboration
* Experience designing and delivering complex infrastructure products
* Proven ability to lead projects and mentor engineers
* Experience optimizing multi-cluster GPU environments
* Exposure to Machine Learning software stacks and GPU workloads
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US

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