Careers
Software Engineer (Industrial Systems)
Job ID: SWE-0224
Location: Hybrid (on-site + remote work possible upon agreement)
Job Type: Full-time
Work Schedule: Sunday to Thursday, 8:00 AM – 5:00 PM (1 hour break)
Position Overview
We are hiring a Machine Learning Engineer to develop intelligent systems that support our machines and customers with predictive maintenance, data-driven insights, and AI-assisted interfaces.
This role focuses on applying machine learning in real-world industrial settings — working with time-series data, process signals, logs, and technical documentation to create models that help operators and managers make better decisions.
Who We Are
MAINDUS is a growing industrial technology company focused on delivering smart, reliable manufacturing systems — from high-performance machines to intelligent automation. We build real solutions for real factories.
We offer a professional environment where your work matters, your ideas are heard, and your skills can grow. Our team values ownership, precision, and continuous improvement.
Key Responsibilities:
Build and deploy machine learning models for real-time monitoring and prediction
Work with sensor data, logs, and production history to detect patterns and anomalies
Collaborate with backend and automation teams to integrate ML models into working systems
Develop, train, test, and optimize models to meet operational requirements
Support internal knowledge systems with NLP models and interfaces
Document workflows and maintain reproducibility
Requirements:
Strong foundation in machine learning and data science
Experience with Python and ML libraries (e.g. Scikit-learn, PyTorch, TensorFlow)
Comfortable working with noisy real-world data
Ability to deploy models in production or edge environments
Strong problem-solving and communication skills
Engineering or Computer Science degree (or proven practical experience)
Bonus: Experience with industrial or IoT data, dashboards, or edge devices
What We’re Looking For
We’re looking for someone who’s more than just clocking in and out. You’re someone who:
Takes responsibility for your own work
Adapts to new challenges and environments
Follows safety rules — both inside our factory and on-site with clients
Contributes to the team and helps others improve
Brings pride and precision to the craft
What We Offer
Full-time position with flexible remote option
Opportunity to work on real machines with real data
Supportive, technical team focused on solving real problems
Competitive compensation and room for growth
Projects that blend software, hardware, and AI in one system
How to Apply
Submit your CV through the form on our Apply page.
Please include Job ID: SWE-0224 in your application.
