ML Infrastructure Engineer

Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.
○ Proficiency in programming languages Python, Java
○ Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred.
○ Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
○ Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).
○ Strong understanding of Containerization technologies (e.g., Docker, Kubernetes).
○ Excellent problem-solving and communication skills.
○ Experience with big data technologies such as Apache Spark or Hadoop Preferred.