AI Engineer

Kids for the Future; Tampa (FL); On-site; USD 120,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, & Vision Insurance

Career growth opportunities

Equal opportunity employer

Job summary

Yzer is seeking an AI Systems Engineer to design, deploy, and maintain the infrastructure supporting AI-driven applications. You will bridge software engineering, systems architecture, and MLOps to ensure scalable, secure AI solutions integrated with business systems.

You will collaborate with data scientists and engineers, implement CI/CD for AI deployments, and maintain strong data security and compliance across platforms.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 3+ years of experience in systems engineering, DevOps, or infrastructure roles.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with AI/ML frameworks and containerization technologies.

Responsibilities

• Design, build, and maintain infrastructure supporting AI/ML models and applications (cloud and/or on-premise).
• Integrate AI tools with existing enterprise systems into data lakes, warehouses, and modern architectures.
• Monitor system performance, uptime, and scalability of AI workloads.
• Collaborate with data scientists and engineers to deploy models into production.
• Implement and maintain CI/CD pipelines for AI/ML deployments (MLOps).
• Ensure data security, privacy, and compliance standards are met for AI systems.
• Troubleshoot and resolve issues related to AI system performance.
• Evaluate and recommend new AI tools, platforms, and vendors.
• Design dashboards and executive reporting solutions; document architectures and SOPs.
• Partner with IT and business stakeholders to identify AI-driven opportunities.

Skills

Cloud platforms

AI/ML frameworks

Scripting

Containerization

CI/CD

MLOps

LLM deployment

Data engineering

Education

Bachelor's degree in CS/IS/Engineering

Tools

Git

MLflow

Kubeflow

SageMaker

OpenAI API

Job description

• Location 12470 Telecom Dr,Ste 520,Tampa, FL, 33637,United States
• Base Pay $120,000.00 - $165,000.00 / Year

Description

Yzer is seeking an AI Systems Engineer to design, deploy and maintain the infrastructure and systems that support AI-driven applications and tools across the organization. This role bridges software engineering, systems architecture, and machine learning operations to ensure AI solutions are scalable, secure, and reliably integrated into existing business systems. to perform HR-related duties on a professional level and work with all levels of employees to support designated business units. This person will focus on employee relations, benefits administration, recruiting, onboarding, performance management, compliance, and policy implementation.

Location

12470 Telecom Drive Tampa FL- (Onsite) No Hybrid or Virtual available

Hours

40 standard, however additional hours will be necessary based on customer needs. M-F 8:30AM to 5:30pm .

Requirements

Key Responsibilities

• Design, build, and maintain infrastructure supporting AI/ML models and applications (cloud and/or on-premise).
• Integrate AI tools and platforms with existing enterprise systems (ERP, CRM, HRIS, etc.) into data lakes, data warehouses, and modern data architectures.
• Monitor system performance, uptime, and scalability of AI workloads.
• Collaborate with data scientists and engineers to deploy models into production environments
• Implement and maintain CI/CD pipelines for AI/ML deployments (MLOps).
• Ensure data security, privacy, and compliance standards are met for AI systems.
• Troubleshoot and resolve technical issues related to AI system performance.
• Evaluate and recommend new AI tools, platforms, and vendors.
• Experience designing and developing dashboards, visualizations, and executive reporting solutions.
• Document system architecture, workflows, and standard operating procedures.
• Partner with IT and business stakeholders to identify opportunities for AI-driven efficiency.

• Identify and implement AI-driven opportunities that improve productivity and decision-making.
• Build scalable integrations between systems and data platforms.
• Create dashboards and analytics solutions that provide operational visibility and actionable insights.
• Translate business needs into technical solutions that streamline processes and drive measurable results.
• Champion innovation while ensuring solutions are practical, secure, and aligned with business objectives.

Key Capabilities

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
• 3+ years of experience in systems engineering, DevOps, or infrastructure roles
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, or similar)
• Proficiency in scripting/programming languages (Python, Bash, or similar)
• Understanding of containerization and orchestration (Docker, Kubernetes)

• Experience with CI/CD tools and version control (Git)
• Experience with MLOps platforms (MLflow, Kubeflow, SageMaker, etc.)
• Familiarity with LLM deployment and API integrations (OpenAI, Anthropic, etc.)
• Background in data engineering or database management

Summary

Key Skills

Applying analytics and automation to improve real-world operational processes and business outcomes.

Work directly with business stakeholders to identify opportunities, define requirements, and deliver solutions.

• Strong problem-solving and analytical skills
• Ability to work cross-functionally with technical and non-technical teams
• Comfort operating in ambiguous, fast-evolving technical environments
• Attention to detail with a focus on system reliability and security

Physical Requirements/Work Environment

• The work environment and physical demands described here are representative of those that must be met by the employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
• Office onsite required some flexibility of working from home.
• Primarily sedentary, involving extended periods of sitting at desk using computer, phone and other office equipment.
• Climate Controlled- office setting.
• Quiet to moderately noise, depending on office layout or company activity.
• Occasional walking to attend meetings or for training.
• May involved light lifting up to 20 LBS.

Total Compensation Package

• Medical, Dental, & Vision Insurance with Optional HSA.
• Opportunities for Career Growth
• Yzer is an equal opportunity employer.Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.

Reasonable Accommodations

• Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.