Machine Learning Engineer, Predictive Maintenance
MaintainXFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
This information is not specified in the job description.
Candidates must have a degree as Ingeniero Mecánico Administrador, Ingeniero Mecánico Eléctrico, Ingeniero en Manufactura, Ingeniero Electrónica, or Ingeniero en Materiales, with experience in preventive and corrective maintenance, electrical, pneumatic, and mechanical maintenance, as well as machines and tools. English is desirable.
The role requires ensuring compliance with CAS (Calidad – Ambiente – Seguridad) controls, ISO14001 for environmental responsibilities, safety and health management systems, and leading high-performance teams with scorecards.
Strong candidates will have the specified engineering degrees, hands-on experience in various maintenance types, knowledge of TPM, hydraulics, pneumatics, electronics, and familiarity with safety, quality, and environmental systems like ISO14001.
Generates clinical evidence for trials
Clario specializes in generating clinical evidence for medical research by utilizing a comprehensive technology platform. Their services support various types of clinical trials, including decentralized, hybrid, and site-based trials. Clario's approach combines nearly 50 years of experience with a vast network of facilities across nine countries, allowing them to conduct a significant number of clinical trials and regulatory approvals. What sets Clario apart from competitors is their extensive expertise and the ability to provide a wide range of endpoint technologies, which enhances the quality of evidence produced. The company's goal is to empower partners in the healthcare industry to improve patient outcomes through reliable and rich clinical data.