Data Scientist / Machine Learning Engineer (Remote)

Posted about 2 months agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: Australia, New Zealand, Canada, US

🔍 Industry: SaaS

🏢 Company: Canibuild Au Pty Ltd

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSDockerPythonGCPHadoopKubeflowKubernetesMachine LearningMLFlowPyTorchAzureData engineeringSparkTensorflowCI/CDRESTful APIsSoftware Engineering

Requirements:

Bachelor’s/Master’s in Computer Science, AI, or related field.
5+ years in machine learning development.
Experience with TensorFlow, PyTorch, or scikit-learn.
Strong knowledge of cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).

Responsibilities:

Design and deploy ML models, ensuring scalability and performance.
Develop efficient data pipelines for structured and unstructured data, including aerial imagery and geospatial datasets.
Build models to analyze and optimize construction site layouts and planning rules.
Implement CI/CD workflows for ML, leveraging MLflow, Kubeflow, or similar tools.
Guide junior developers, conduct code reviews, and drive best practices in AI model development.
Work closely with data scientists, engineers, and stakeholders to translate business needs into AI solutions.

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