Industrial AI Engineer Opportunity
Our team is seeking an experienced Industrial AI Engineer to join our R&D group. As a key member of our team, you will design, build, and deploy production-grade machine learning models that power real-time decision support and automation across complex environments.
Responsibilities:
* Design and develop advanced machine learning algorithms for industrial applications.
* Collaborate with domain experts and product teams to deliver solutions that make a measurable impact in the field.
* Work hands-on with large-scale industrial datasets to build scalable and efficient ML models.
* Deploy models into production using MLOps tools such as MLflow, Kubeflow, or SageMaker.
Requirements:
* 3+ years of experience in machine learning engineering, including at least 1 year in industrial applications (IoT, predictive analytics, fleet telemetry, or similar).
* Strong proficiency in Python for ML development.
* Experience with ML frameworks (TensorFlow, PyTorch) and libraries (scikit-learn, Hugging Face).
* Proven track record of deploying ML models into production (time-series forecasting, anomaly detection, classification).
What We Offer:
* Competitive salary and performance bonus.
* Flexible hybrid working arrangements.
* Dedicated professional development opportunities.
* Inclusive, collaborative company culture.
* Support for work-life balance, including extra leave and wellbeing initiatives.
If you are passionate about developing innovative AI solutions for industrial applications, please submit your application with your resume and a cover letter explaining why you are the ideal candidate for this role.