Machine Learning Engineer – Production AI Systems
Job Description:
We’re hiring a Machine Learning Engineer who thrives on deploying models into real-world production systems. You’ll be involved in the full ML lifecycle from data wrangling to deployment and monitoring.
Global Digital Next partners with enterprises to turn AI ideas into scalable impact. As we expand our production-grade AI services, this role is essential to ensure we maintain quality, reliability, and performance across every solution we deploy. You’ll play a key part in bridging experimentation and enterprise implementation.
Preferred Qualifications:
- Solid ML background with regression, classification, clustering models
- Experience with ML lifecycle tools (MLflow, DVC, Kubeflow)
- Deployment on Docker/Kubernetes
- Scikit-learn, XGBoost, TensorFlow Lite
- Understanding of CI/CD for ML
