* Develop, test, and maintain Python-based applications, scripts, and tools.
* Develop and implement robust Python-based solutions to efficiently read, process, and transform large datasets from Azure Data Lake Storage (ADLS) Gen2, Synapse and Databricks environments, ensuring data quality and readiness for model development.
* Design, implement, and train machine learning models using relevant Python libraries (e.g., scikit-learn, TensorFlow, PyTorch, MLflow within Databricks) to address specific business problems, iterating on model architecture and hyperparameters to achieve optimal performance.
* Develop and implement automated pipelines and deployment strategies (e.g., using Databricks Model Serving, Azure Machine Learning, containerisation) to seamlessly integrate trained models into production environments, ensuring scalability and reliability.
* Design and build automated workflows using Python and Azure services (e.g., Azure Data Factory, Databricks Workflows) to streamline data ingestion, model training, evaluation, and deployment processes, ensuring efficiency and repeatability.
* Implement monitoring solutions to track model performance and data drift in production, perform regular model evaluation, and develop strategies for model retraining and maintenance to ensure continued accuracy and relevance.
* Effectively collaborate with data engineers, business analysts, and other stakeholders to understand business requirements, communicate technical findings, and contribute to the overall data science strategy.
Job Overview
* Develop, test, and maintain Python-based applications, scripts, and tools.
* Develop and implement robust Python-based solutions to efficiently read, process, and transform large datasets from Azure Data Lake Storage (ADLS) Gen2, Synapse and Databricks environments, ensuring data quality and readiness for model development.
* Design, implement, and train machine learning models using relevant Python libraries (e.g., scikit-learn, TensorFlow, PyTorch, MLflow within Databricks) to address specific business problems, iterating on model architecture and hyperparameters to achieve optimal performance.
* Develop and implement automated pipelines and deployment strategies (e.g., using Databricks Model Serving, Azure Machine Learning, containerisation) to seamlessly integrate trained models into production environments, ensuring scalability and reliability.
* Design and build automated workflows using Python and Azure services (e.g., Azure Data Factory, Databricks Workflows) to streamline data ingestion, model training, evaluation, and deployment processes, ensuring efficiency and repeatability.
* Implement monitoring solutions to track model performance and data drift in production, perform regular model evaluation, and develop strategies for model retraining and maintenance to ensure continued accuracy and relevance.
* Effectively collaborate with data engineers, business analysts, and other stakeholders to understand business requirements, communicate technical findings, and contribute to the overall data science strategy.
Job Requirement
* Proficiency in Python and its frameworks (e.g., Django, Flask, FastAPI).
* Solid proficiency in Python programming and relevant data science libraries (e.g., Pandas, NumPy, scikit-learn).
* Demonstrable experience building, training, and evaluating machine learning models using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
* Strong problem-solving and analytical skills with the ability to translate business requirements into technical solutions.
* Experience with RESTful APIs and microservices architecture.
Job Location
Canberra / Sydney / Melbourne / Brisbane
If you are interested in the above job opportunity, please apply through the links provided or please feel free to contact Newmanfor more details.
newman.ponniah@calleo.com.au
0404 331 242
Due to the nature of this role, this job is open to Australian Citizens only. Candidates who currently hold or able to obtain Federal Government Security Clearances are highly desirable.
Calleo is an equal opportunity employer and we encourage applications from all people including Aboriginal and Torres Strait Islander peoples.
Follow Calleo on LinkedIn and visit our website to keep up to date on all our current job vacancies:
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www.calleo.com.au
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