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Remote Reliability Manager Jobs in Utah (NOW HIRING)

Business Systems Manager Work Schedule: Fully Remote - Salt Lake City, UT At Moog Medical Devices ... reliability * Stay up to date with the latest Cloud technologies, frameworks and best practices.

Business Systems Manager Work Schedule: Fully Remote - Salt Lake City, UT At Moog Medical Devices ... reliability * Stay up to date with the latest Cloud technologies, frameworks and best practices.

Develop Remote Actions using PowerShell. Build workflows using Nexthink Flow. Create NQL queries ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

Regression Tester

Orem, UT Β· On-site +1

$110K - $130K/yr

... reliability, and user experience Key Responsibilities * Execute existing test cases across the ... Flexible remote/hybrid work options. * Contribute to cutting-edge recruitment and analytics ...

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... Excellent organizational skills, attention to detail, time management, and problem-solving ability.

BAS Client Service Representative

Ogden, UT Β· Remote

$15.75 - $21.25/hr

System reliability issues * Comfort complaints * Energy concerns * Alarm-management challenges ... Experience with remote monitoring, FDD, analytics, energy services, or smart-building technologies.

... reliability, customer satisfaction, and fulfillment of service commitments. What You Will Do at ... Manage tools, parts usage, travel, and expenses responsibly. * Follow all safety policies ...

Showing results 41-60

Remote Reliability Manager information

What is the difference between Remote Reliability Manager vs Remote Maintenance Engineer?

AspectRemote Reliability ManagerRemote Maintenance Engineer
CredentialsEngineering degree, certifications in reliability or asset managementEngineering degree, certifications in maintenance or technical skills
Work EnvironmentOversees reliability strategies remotely, collaborates with teamsPerforms maintenance tasks remotely or on-site, technical troubleshooting
Industry UsageUsed across manufacturing, energy, and industrial sectorsCommon in manufacturing, utilities, and industrial facilities
Search IntentComparing reliability management roles with maintenance rolesLooking for maintenance-focused remote engineering jobs

The Remote Reliability Manager focuses on developing and implementing strategies to improve asset reliability remotely, often overseeing teams and analyzing data. In contrast, the Remote Maintenance Engineer handles technical maintenance tasks, troubleshooting, and repairs remotely or on-site. Both roles require engineering credentials and are prevalent in industrial sectors, but their core responsibilities differβ€”one emphasizes strategic reliability management, the other technical maintenance execution.

What are popular job titles related to Remote Reliability Manager jobs in Utah?

For Remote Reliability Manager jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Reliability Manager jobs in Utah look for?

The top searched job categories for Remote Reliability Manager jobs in Utah are:

Infographic showing various Remote Reliability Manager job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Generative AI Automation Engineer - Remote Job

West Jordan, UT β€’ Remote

EnthuZiastic
E-LearningΒ β€’Β 11 - 50 employees

Full-time

Re-posted 25 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.