We are seeking a Mid-Level ML Dev / Cloud Engineer to support the development, deployment, and optimization of machine learning services in a cloud-native environment.
Requirements
- 3β5 years of hands-on experience in machine learning engineering, MLOps, or cloud engineering.
- Strong foundations in Python, ML workflows, and API development.
- Experience deploying models into production using Docker/Kubernetes.
- Practical experience with at least one major cloud provider (AWS, GCP, or Azure).
- Familiarity with ML lifecycle tools (MLflow, Airflow, Kubeflow, or similar).
- Experience building or maintaining CI/CD pipelines.
- Understanding of distributed systems, container orchestration, and cloud-native architectures.
- Ability to collaborate with data scientists, engineers, and stakeholders.
- Excellent problem-solving skills and comfort working in a fast-paced environment.