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Exclaim IT

Python Developer

Exclaim IT
Australia · Contract · Not Applicable

About the role

The Lead Python Developer will oversee the design, development, and implementation of end-to-end data science solutions within the Microsoft Azure and Data Fabric environment. This role will involve management of Developers within a multi-disciplinary team (approximately 25% leadership and 75% hands-on software development), liaising with stakeholders, providing technical advice and guidance, and leading work to develop data modelling and forecasting solutions.


Key responsibilities

  • Provide technical leadership to the Python development team, including workload allocation, code reviews, and ensuring adherence to standards and best practices for maintainable, scalable, reliable, and high-quality code.
  • Understand the product planning lifecycle and provide technical advice on the size and complexity of deliverables to inform effort estimations and contribute to the management of product backlog.
  • Lead the development and implementation of robust Python-based solutions for efficient data processing and transformation of large datasets from ADLS and Databricks, ensuring data quality and readiness for model development.
  • Oversee and guide the design, implementation, and training of machine learning models using relevant Python libraries to address complex business problems.
  • Ensure that all development efforts align with the overall Indigo and data platform architecture and contribute to a scalable and robust solution.
  • Applicants located outside of Canberra will be required to travel to Canberra for operational reasons as directed (e.g. onboarding, planning exercises [1-2 times per quarter], in person training, etc.). Any required travel will be discussed in advance and notice given wherever practicable.


Highly desirable criteria

  • Deep understanding and practical experience with core Python, its web frameworks (e.g., Django, Flask, FastAPI), and key data science libraries (e.g., Pandas, NumPy, scikit-learn).
  • Demonstrated expertise in building, training, evaluating, and deploying machine learning models using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar, with a strong understanding of model optimisation and performance tuning.
  • Evidenced experience and qualifications as a Python Development Lead, with proven ability to manage and mentor a development team.
  • Detailed understanding of the data science lifecycle, from data exploration and preprocessing to model deployment and monitoring.
  • Strong problem-solving and analytical skills, able to translate business requirements into technical solutions with keen attention to detail.
  • Excellent communication and collaboration skills, with the proven ability to anticipate stakeholder needs and expectations across a geographically dispersed network.


Desirable criteria

  • Familiarity with DevOps practices and CI/CD pipelines.
  • Experience with at least one model deployment framework or service (e.g., Databricks Model Serving, Azure Machine Learning).
  • Experience with cloud platforms (e.g. AWS, Azure, GCP) is advantageous.
  • Tertiary qualifications in a relevant discipline (e.g. Computer Science, Data Science, Statistics, Engineering).


Benefits

  • Contract till 30 June 2026 with a possible 6-month extension
  • Flexible hybrid working arrangements
  • ACT, NSW, QLD, SA, VIC; Hybrid


Contact details

For a confidential chat, please contact Chris on 0474 545 379 or via email at [email protected] and we would be more than happy to provide you with additional information and assist in the application process.

Please note that a National Police Check might be required as part of pre-employment screening.

Key Skills

Ranked by relevance

python machine learning tensorflow fastapi pytorch django devops pandas flask cloud numpy cicd aws gcp
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Posted
Jul 17, 2025
Type
Contract
Level
Not Applicable
Location
Australian Capital Territory
Company
Exclaim IT

Industries

IT Services IT Consulting

Categories

Information Technology

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