Total 3 Engineering job vacancies in Charters Towers City

The Engineering Technician (AC System) is responsible for the installation, maintenance, troubleshooting, and repair of air-conditioning, ventilation, and refrigeration systems throughout the hotel. The role ensures all HVAC equipment operates efficiently, safely, and in compliance with hotel standards to provide a comfortable environment for guests and employees.

Key Responsibilities

HVAC Operations & Maintenance

• Perform preventive and corrective maintenance on air-conditioning, ventilation, and refrigeration systems.
• Inspect, troubleshoot, diagnose, and repair HVAC equipment, including chillers, FCUs, AHUs, split units, package units, and ventilation systems.
• Monitor and maintain HVAC system performance to ensure optimal efficiency and guest comfort.
• Conduct routine inspections of mechanical rooms, plant rooms, and equipment areas.
• Ensure all maintenance activities are completed according to established schedules.

Repair & Troubleshooting

• Respond promptly to maintenance requests and HVAC-related breakdowns.
• Identify equipment faults and perform repairs in a timely manner.
• Replace defective components such as motors, thermostats, filters, compressors, belts, and control systems.
• Coordinate with external contractors when specialized repairs are required.
• Maintain records of repairs and maintenance activities.

Energy Management

• Monitor energy consumption and recommend initiatives to improve energy efficiency.
• Assist in maintaining optimal operating conditions of HVAC systems to reduce utility costs.
• Support sustainability and environmental programs related to energy conservation.

Safety & Compliance

• Ensure compliance with safety regulations, engineering procedures, and hotel policies.
• Follow lockout/tagout procedures and safe work practices when performing maintenance.
• Handle refrigerants, tools, and equipment safely and responsibly.
• Maintain a clean and safe work environment.
• Report any safety hazards or equipment defects immediately.

General Engineering Support

• Assist with general engineering and maintenance tasks as required.
• Support emergency repairs and operational requirements across hotel facilities.
• Participate in renovation, refurbishment, and project-related works when assigned.
• Provide technical support to other engineering team members.

Administration & Reporting

• Complete maintenance logs, work orders, and equipment records accurately.
• Update preventive maintenance schedules and service reports.
• Monitor spare parts inventory and report stock requirements.
• Ensure proper documentation of equipment performance and maintenance history.

Requirements

• Certificate, Diploma, or Technical Qualification in Air Conditioning, Refrigeration, Mechanical Engineering, Electrical Engineering, or a related field.
• Minimum 1–3 years of experience in HVAC maintenance, preferably in a hotel, commercial building, or facilities environment.
• Strong knowledge of air-conditioning, refrigeration, ventilation, and mechanical systems.
• Ability to read technical manuals, schematics, and engineering drawings.
• Knowledge of preventive maintenance practices and troubleshooting techniques.
• Good communication and teamwork skills.
• Willingness to work shifts, weekends, public holidays, and on-call duties when required.

Key Performance Indicators (KPIs)

• Preventive Maintenance Completion Rate
• HVAC Equipment Uptime and Reliability
• Response Time to Maintenance Requests
• Energy Efficiency and Utility Cost Control
• Guest Satisfaction Related to Room Comfort
• Compliance with Safety and Engineering Standards
• Accuracy of Maintenance Records and Reports
• Reduction of Equipment Downtime and Repeat Repairs

• Annual Leave
• Free duty meals
• Birthday Leave
• Long Service Award
• Compassionate Leave
• Medical Insurance

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it.

At Enroute, we are looking for a Mid-Level Video Engineer to join a high-impact engineering team responsible for building, supporting, and optimizing scalable video streaming solutions.

The ideal candidate has solid backend development experience-especially with Node.js and hands-on familiarity with video technologies, adaptive streaming, and media delivery systems. This roll is perfect for someone who enjoys working with realtime data streams, video processing pipelines, and distributed systems.

You will work closely with video segments, APs, backend services, and streaming workflows that support video processing, analysis, and delivery. This role is ideal for someone who thrives in technically complex environments, enjoys troubleshooting, and is passionate about improving performance and reliability at scale.

This role requires availability to support APAC time zones, with an expected working schedule between 6:00 PM - 5:00 AM (CDMX time). We are open to candidates based in APAC regions such as India, Philippines, Vietnam, Indonesia, Malaysia, Singapore, Thailand, Australia, and other countries within similar time zones who can accommodate this schedule.

Backend & Engineering

•⁠ ⁠Strong experience with Node.js in backend, microservices, or data-streaming environments

•⁠ ⁠Experience building and maintaining APIs and backend services

•⁠ ⁠Experience working with microservices architectures

•⁠ ⁠Strong troubleshooting and debugging skills

Video & Streaming

•⁠ ⁠Working knowledge of HLS and adaptive streaming

•⁠ ⁠Understanding of video formats, segmented video, and media delivery workflows

•⁠ ⁠Hands-on experience with FFmpeg, media codecs, and video processing concepts

Data & Systems

•⁠ ⁠Experience working with data streams and event-driven architectures

•⁠ ⁠Ability to work in distributed systems and scalable environments

+ Nice-to-Have Requirements (Extras)

•⁠ ⁠Experience with TýpeScript, Python, or other backend languages

•⁠ ⁠Familiarity with video tools such as GStreamer, OpenCV, or VLC

•⁠ ⁠Knowledge of streaming protocols such as RTMP or WebRTC

•⁠ ⁠Experience with:

•⁠ ⁠Cloud storage (e.g., Amazon S3)

•⁠ ⁠CDNs (Content Delivery Networks)

•⁠ ⁠Redis, Kafka, RabbitMQ

•⁠ ⁠Monitoring tools (Prometheus, Grafana)

•⁠ ⁠Experience optimizing:

•⁠ ⁠Network performance

•⁠ ⁠Disk 1/0

•⁠ ⁠⁠Processing performance for large media files

Responsibilities

•⁠ ⁠Use Node.js to process and manage data streams in a microservices-based environment

•⁠ ⁠Build and support workflows for fetching, handling, and analyzing video segments

•⁠ ⁠Implement and troubleshoot video workflows involving HLS, adaptive streaming, FFmpeg, and codecs

•⁠ ⁠Develop and maintain APls for video delivery, metadata handling, and backend integrations

•⁠ ⁠Work with event-driven architectures for real-time or near-real-time video processing

•⁠ ⁠Collaborate with developers, QA engineers, and operations teams to improve:

•⁠ ⁠Streaming quality

•⁠ ⁠Performance

•⁠ ⁠Reliability

•⁠ ⁠Identify technical issues, propose improvements, and support scalable backend solutions

•⁠ ⁠Contribute to system optimization across network, storage, and processing layers

• Monetary compensation
• Year-end Bonus
• IMSS, AFORE, INFONAVIT
• Major Medical Expenses Insurance
• Life Insurance
• Funeral Expenses Coverage
• TDU Membership
• MediAccess
• Health Check-Up Subsidy
• Preferential rates for car insurance
• Vacations
• Official Mexican Holidays
• Life Happens Days
• Bereavement Leave
• Civil Marriage Leave
• English Classes
• Certifications
• Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS)
• Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)
• Taquitos Rewards
• Birthday Bonus
• Work-from-home Bonus
• Laptop Policy

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.

Role Overview

As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics.

Key Responsibilities

• Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products
• Strategize evaluation methodologies, gathering data and evaluation reporting
• Perform data analytics on large datasets
• Monitor and track anomalies within product’s content and statistics
• Train and deploy ML models to help boost product performance
• Create and maintain detailed documentation of test processes, methodologies, and findings
• Keep up to date with advancements in the field to optimize internal processes and workflows
• Interface and coordinate with Engineering team
• Foster a collaborative, proactive team environment that values shared success.

• Bachelor’s degree in an analytical domain such as Machine Learning, Computer Science, or a related discipline

• Python, Javascript and SQL Knowledge/Experience
• Familiarity with classical Machine Learning Models such as Random Forest, SVM, Naive Bayes
• Core understanding of mathematical concepts for statistical inference
• Hands on with spreadsheet based querying and analytics
• Proficient with annotation tools such as CVAT
• Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)
• Good command of English both oral and written and reporting skills
• Knowledge of basic statistical principles coupled with logical thinking, coherent reasoning and a detail-oriented attitude