As a Python developer at Xtremepush, you will be part of our Customer Data team and will report into our Customer Data Team Lead. You will use your experience to help develop and maintain our data pipelines, custom Python applications and importantly, the Python element of our InfinityAI application. In doing this, you will work with the wider Customer Data team to help ensure that we are implementing best practices and focusing on scalable, performant applications.
As well as working directly on the Python applications that we have within the Xtremepush ecosystem, you will also use your experience in machine learning to help plan and implement iterative improvements to the general functionality and range of use cases that our InfinityAI product can address.
You will maintain good working relationships with your immediate team, but also with developers that are working in adjacent teams. In everything you do in the role, you will be free to suggest potential changes to tooling, processes and approach that you feel will help improve the business from a machine learning perspective.
#LI-HybridPython Development
Become an expert in the Python side of our InfinityAI application, helping to plan and implement iterative improvements to the code base.
Help to maintain and improve data transfer applications in terms of both general efficacy and overall architecture.
Work closely with adjacent teams on both custom application development for clients solutions, as well as wider Python application development to support the product.
Machine Learning
Use your experience to further Xtremepush’s use of machine learning both within the core application as well as for internal efficiency.
Stay abreast of changes within the machine learning space, using that information to help ensure Xtremepush is using the latest technology and techniques in the space.
Play a key part in Xtremepush’s LAM project, both from a planning and a development perspective.
General Development
Ensure thorough planning, testing and documentation of all solutions built and actively maintained.
Implement best practices in code development and deployment, working to build code based and applications that are very easy to work on.
Become an expert in the AWS technologies that support the responsibilities outlined above.
Very strong experience developing Python applications, with a particular focus on data and machine learning.
Very knowledgeable in the field of machine learning.
Previous experience architecting solutions in a cloud provider.
Strong interest in the new frontier of LLM, LAM and generative AI technologies.
Excellent analytical and problem-solving skills.
Strong communication and presentation abilities.
Detail-oriented and organised, capable of organising cross-functional projects.
Ability to work independently and in a team environment.
