2

Remote Predictive Maintenance Jobs in California

Data Engineer

Los Angeles, CA ยท On-site +1

$120K - $160K/yr

... predictive of future sales. EDO empowers the advertising industry to maximize media impact ... Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt. * Strong ...

Showing results 41-60

Remote Predictive Maintenance information

What is remote predictive maintenance?

Remote predictive maintenance is a technology-driven approach that uses sensors, data analytics, and machine learning to monitor equipment performance and predict potential failures before they occur, all from a remote location. This allows maintenance teams to address issues proactively, reducing unplanned downtime and maintenance costs. By leveraging real-time data and remote monitoring, organizations can improve equipment reliability, optimize maintenance schedules, and ensure safer operations, even without being physically present at the equipment site.

How does a Remote Predictive Maintenance specialist typically collaborate with onsite teams to resolve equipment issues?

A Remote Predictive Maintenance specialist works closely with onsite maintenance and engineering teams by analyzing machine data, identifying potential issues before they lead to failures, and communicating actionable insights. Collaboration often involves regular virtual meetings, sharing real-time dashboards, and providing detailed reports or recommendations. The specialist may also guide onsite staff through troubleshooting steps or suggest preventive measures to minimize downtime, ensuring seamless integration between remote monitoring and hands-on repairs.

What are the key skills and qualifications needed to thrive as a Remote Predictive Maintenance specialist, and why are they important?

To thrive as a Remote Predictive Maintenance Specialist, you need a solid background in engineering or industrial maintenance, along with expertise in data analysis and condition monitoring. Familiarity with predictive maintenance software, IoT sensors, and data visualization tools is typically required, and certifications such as Certified Maintenance & Reliability Professional (CMRP) are advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help specialists interpret data and coordinate with on-site teams. These skills ensure accurate diagnosis of equipment issues, minimize downtime, and optimize asset performance in remote industrial environments.

What is the difference between Remote Predictive Maintenance vs Remote Maintenance Technician?

AspectRemote Predictive MaintenanceRemote Maintenance Technician
CredentialsTechnical certifications in predictive analytics, IoT, or condition monitoringTechnical certifications in general maintenance, HVAC, electrical, or mechanical systems
Work EnvironmentPrimarily remote, using sensors, software, and data analysis toolsPrimarily remote or on-site, focusing on repairing and maintaining equipment
Industry UsageManufacturing, energy, utilities, and industrial sectorsManufacturing, facilities management, and industrial sectors

Remote Predictive Maintenance specialists focus on analyzing data remotely to predict equipment failures, while Remote Maintenance Technicians perform repairs and routine maintenance, often on-site. Both roles require technical skills, but predictive maintenance emphasizes data analysis and remote diagnostics, whereas maintenance technicians focus on hands-on repairs.

What are popular job titles related to Remote Predictive Maintenance jobs in California?

For Remote Predictive Maintenance jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Predictive Maintenance jobs in California look for?

The top searched job categories for Remote Predictive Maintenance jobs in California are:

What cities in California are hiring for Remote Predictive Maintenance jobs?

Cities in California with the most Remote Predictive Maintenance job openings:

Infographic showing various Remote Predictive Maintenance job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Machine Learning Engineer : 26-02588

Akraya Inc.

Pleasanton, CA โ€ข On-site, Remote

$55 - $60/hr

Temporary

Posted 5 days ago


Job description


Primary Skills: Machine Learning (Expert), Python & SQL (Expert), Deep Learning & NLP (Advanced), Azure AI/ML (Advanced), MLOps & DevOps (Advanced)
Contract Type: W2 Only
Duration: 6+ Months
Location: Pleasanton, CA. Hybrid/Remote (Must Support PST Hours)
Pay Range:$55 - $60 on W2
Job Summary:
We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and optimize scalable machine learning solutions for enterprise applications. The ideal candidate will have strong expertise in supervised and unsupervised learning, deep learning, natural language processing (NLP), and cloud-based AI platforms, with hands-on experience deploying production-ready ML models using Azure and MLOps best practices.
Key Responsibilities:
  • Design, develop, train, and deploy machine learning models for predictive analytics and intelligent automation.
  • Build and optimize supervised and unsupervised learning models to solve complex business problems.
  • Develop deep learning solutions using neural networks and NLP techniques.
  • Create data pipelines for feature engineering, model training, validation, and inference.
  • Deploy, monitor, and maintain ML models using Azure cloud services and MLOps best practices.
  • Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate requirements into scalable AI solutions.
  • Optimize model performance, accuracy, scalability, and reliability through continuous experimentation and tuning.
  • Develop reusable Python libraries, APIs, and automation scripts for ML workflows.
  • Implement CI/CD pipelines and DevOps practices for model deployment, versioning, and lifecycle management.
  • Document technical designs, model architectures, and deployment processes while following enterprise development standards.
Must-have Skills:
  • 5+ years of experience developing and deploying Machine Learning solutions.
  • Strong expertise in Supervised and Unsupervised Machine Learning Algorithms.
  • Hands-on experience with Neural Networks and Natural Language Processing (NLP).
  • Advanced programming skills in Python, SQL, and R.
  • Experience with machine learning frameworks including TensorFlow, Keras, and PyTorch.
  • Strong experience with Microsoft Azure AI/ML services and cloud-based model deployment.
  • Hands-on knowledge of DevOps and MLOps practices, including CI/CD pipelines and model lifecycle management.
  • Experience with data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating with cross-functional technical teams.
Nice-to-have Skills:
  • Experience with Azure Machine Learning, Azure Databricks, or Azure OpenAI Services.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Experience building REST APIs for ML model serving.
  • Knowledge of Git, version control, and automated deployment pipelines.
  • Experience working in Agile/Scrum environments and enterprise AI initiatives.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Akraya logo

About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001