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 Google Cloud Platform is strongly required.
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.