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Ai Monitoring Jobs in Missouri (NOW HIRING)

6AM City, LLC

Machine Learning Engineer

California, MO · On-site

$110 - $170/hr

Contribute to the deployment of MLOps processes and techniques * Assist in the development of automated methods for responsible AI monitoring and best practices Minimum Qualifications * Strong ...

duvari group

AI Engineer

Chesterfield, MO · On-site

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve ... Monitor, optimize, and maintain model performance, scalability, and reliability. * Research ...

duvari group

AI Engineer

Chesterfield, MO

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve ... Monitor, optimize, and maintain model performance, scalability, and reliability. * Research ...

duvari group

AI Engineer

Chesterfield, MO

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve ... Monitor, optimize, and maintain model performance, scalability, and reliability. * Research ...

ClickUp

Senior AI Engineer - AI Platform

California, MO · On-site

$130 - $160/hr

Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. * Integrate with multiple LLM ...

Jobtailor

Senior AI Engineer

California, MO · On-site

$120 - $190/hr

Experience with observability and monitoring systems for ML (e.g., MLflow, Weights & Biases, or ... Have an AI first mindset and passion, with curiosity to learn and leverage AI in all aspects of ...

Equifax, Inc.

AI Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

Establish and lead best practices for the reliability, versioning, monitoring, and observability of our AI agents, using tools like Langfuse to ensure production-grade performance. * Collaborate to ...

Deloitte

Google AI Architect

Saint Louis, MO

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

Deloitte

Google AI Architect

Kansas City, MO · On-site

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

Jobtailor

AI Legal Engineer

California, MO · On-site

$120 - $180/hr

... monitor performance and iterate based on feedback and outcomes * Serve as a go-to resource for ... Represent the AI Products & Adoption team in internal meetings, committees, and practice group ...

Lightedge

Sr. AI Integration Engineer

Kansas City, MO

$101K - $136K/yr

Monitor, evaluate, and optimize the accuracy, reliability, cost, and business effectiveness of deployed AI workflows and integrations. * Documentation: Maintain clear technical documentation ...

Bayer (Schweiz) AG

AI Engineer

Creve Coeur, MO · On-site

$120 - $180/hr

Contribute to the deployment of AI solutions into production environments, following best practices for version control, architecture, monitoring, and maintenance. Prepare and present regular reports ...

New

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO · On-site

$91K - $125K/yr

Participate in MLOps and PromptOps processes, including deployment, monitoring, evaluation, versioning, and continuous improvement of AI systems. * Collaborate with business and technical ...

Hubbell Incorporated

Manager, AI Platforms

Saint Louis, MO · On-site

$138K/yr

Own the AI platform cost and license governance, including consumption monitoring, optimization, forecasting, and alignment to budget expectations. * Build and lead the platform support model ...

Exavalu

Principal Agentic AI Engineer

California, MO · On-site

$140 - $200/hr

Build observability into AI systems using modern monitoring frameworks. * Ensure engineering quality through testing, code reviews, and deployment automation. Required Skills & Experience * 10+ years ...

Hubbell Incorporated

Manager, AI Platforms

Saint Louis, MO · On-site

$138K/yr

Own the AI platform cost and license governance, including consumption monitoring, optimization, forecasting, and alignment to budget expectations. * Build and lead the platform support model ...

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Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Ai Monitoring jobs in Missouri?

For Ai Monitoring jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Ai Monitoring jobs in Missouri look for?

The top searched job categories for Ai Monitoring jobs in Missouri are:

Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Fleet Manager - Kansas City

Vance Brothers, Inc.

Kansas City, MO • On-site

Full-time

Posted 19 days ago

Job description

Description
We are Pavement Preservation Group (PPG), a dynamic and growing pavement preservation company. Pavement Preservation Group is a national platform of leading asphalt and pavement preservation companies, united by a commitment to quality, safety, and innovation. With more than 100 years of combined experience, our portfolio of best-in-class operators delivers superior results through advanced techniques and trusted local execution.
Overview
We are seeking an experienced Fleet Manager to oversee all aspects of our company's vehicle fleet operations. This role includes managing fleet administration, maintenance, compliance, budgeting, and team supervision. The Fleet Manager ensures safe, efficient, and cost-effective fleet operations while supporting drivers and company goals.
Requirements
Key Responsibilities
  • Lead and manage all fleet operations, including scheduling, maintenance, and vehicle assignments.
  • Enforce fleet policies, procedures, and compliance with DOT, state, and local regulations.
  • Oversee preventive maintenance programs, repair schedules, and vendor relationships.
  • Participate in developing and managing the annual fleet operating and capital budgets.
  • Lead the procurement of vehicles, equipment, and fleet-related services
  • Monitor expenses and identify cost-saving opportunities.
  • Supervise fleet staff, including fleet purchasers, mechanics, fabricators, and others as applicable.
  • Maintain fleet records, including registrations, inspections, insurance, and driver documentation.
  • Implement fleet tracking systems (GPS, telematics, AI monitoring) to optimize utilization and efficiency.
  • Help coordinate procurement and disposal of fleet vehicles and equipment.
  • Generate reports on fleet performance, utilization, and costs for senior management.
  • Ensure safety programs are followed, incidents are documented, and corrective actions are implemented.

Required Qualifications
  • Bachelor's degree in logistics, business, or related field preferred (high school diploma with extensive experience considered).
  • 5+ years of fleet management or supervisory experience, preferably with commercial or heavy vehicles.
  • Strong knowledge of DOT regulations, vehicle maintenance, and fleet compliance standards.
  • Experience with fleet management software and GPS/telematics systems.
  • Excellent leadership, organizational, and problem-solving skills.
  • Strong budget management and analytical skills.

Preferred Qualifications
  • Experience managing a large fleet (100+ vehicles).
  • Strong negotiation skills with vendors and service providers.
  • Certifications in fleet management (e.g., NAFA Fleet Management Certification) a plus.

****DISCLAIMER****
This job description does not contain a comprehensive list of duties, responsibilities or activities that are required of the position. Additional duties and responsibilities may be assigned as needed at any time with or without notice.

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