Must have skills: Containerization, DevOps, Docker, Kubernetes, Machine Learning, PyTorch, Python, Spark, Tensor Flow, Terraform, big data, Google Cloud Platform, AWS or AZURE, Java, CI/CD pipelines
Job Description:
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, Google Cloud Platform, or Azure. Google Cloud Platform 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.
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