Reliability Engineering - Experienced Professional (P2) (AI)

Location: Santiago de Querétaro, Querétaro, Mexico

Company

hirify.global develops energy technologies and systems supporting reliable, sustainable energy generation and the energy transition.

What you will do

• Develop, maintain, and improve data and analytics pipelines for reliability engineering, fleet performance, and technical risk assessments.
• Acquire, transform, validate, and analyze engineering and operational data using Python, analytical libraries, and visualization technologies.
• Support statistical and predictive models for component reliability, failure risk, degradation, and fleet risk.
• Translate model outputs, uncertainty, and engineering data into insights for outage planning, maintenance strategies, and spare-parts decisions.
• Integrate AI-powered tools, agents, and automation into internal software solutions and engineering workflows while following data governance, security, and quality standards.
• Collaborate with reliability engineers, service engineering teams, data specialists, and other multidisciplinary global stakeholders.

Requirements

• Professional or experienced-level background in reliability engineering, data analytics, statistical analysis, or a related area.
• Experience with Python and analytical libraries for data processing, statistical analysis, visualization, and workflow automation.
• Experience building and maintaining data pipelines and data transformation workflows.
• Experience working with structured and semi-structured datasets.
• Familiarity with statistical and analytical methods applied to engineering or operational data.
• Familiarity with software development practices, including version control, code reviews, testing, and collaborative workflows.
• Ability to create and maintain clear technical documentation, solve analytical problems, and communicate with technical and non-technical stakeholders.
• Ability to work collaboratively in multidisciplinary and multicultural teams.
• Excellent written and verbal communication skills in English.

Nice to have

• Reliability analysis, uncertainty quantification, or predictive analytics experience.
• Experience or interest in AI-powered development tools and AI-assisted capabilities in internal software applications and workflows.
• Interest in reliability engineering, asset performance, predictive maintenance, or industrial analytics.
• Experience in the energy sector, manufacturing, or another industrial environment.
• Passion for using data to improve engineering decisions and business outcomes.

Culture & Benefits

• Work within the Integrated Risk Management team under Technical Excellence, collaborating with global engineering, digital platform, product safety, and service operations teams.
• Career growth and development opportunities in a supportive work culture focused on work-life balance.
• Company-paid health and wellness benefits, paid time off, and paid holidays.
• Savings fund, statutory benefits, family-building benefits, parental leave, and competitive total rewards.
• Annual performance bonus and opportunities to contribute to social responsibility initiatives.
• Inclusive workplace with a focus on diversity and inclusion.