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Python/machine learning developer

Perth
Michael Page
Developer
Posted: 15h ago
Offer description

About Our Client

The employer is a global organisation within the software space, committed to delivering high-quality solutions through advanced technology. They focus on fostering a collaborative environment and prioritise innovation in their field.

Job Description

Key responsibilities:

1. Develop and implement machine learning models to support project requirements.
2. Optimise Python code to ensure performance and scalability.
3. Collaborate with cross-functional teams to design and deliver technical solutions.
4. Analyse and interpret data to provide actionable insights.
5. Maintain and enhance existing machine learning systems and frameworks.
6. Document code and processes to ensure clarity and reproducibility.
7. Stay updated with the latest advancements in machine learning and Python development.
8. Assist in troubleshooting and resolving technical issues as they arise.

The Successful Applicant

A Successful Python/Machine Learning Developer should have:

9. Strong proficiency in Python programming and PyTorch
10. Strong machine learning experience
11. Experience in Linux/Containers/Docker
12. Capability to read, understand and implement from papers, i.e. Arxiv etc
13. Willingness to trial, implement and iterate rapidly on development solutions prior to refinement into production workflow.
14. Prior experience specifically in Computer Vision is a bonus
15. Familiarity with software development lifecycle and best practices.
16. Ability to work effectively in a team environment and communicate technical concepts clearly.
17. Problem-solving skills and a proactive approach to challenges.

What's on Offer

18. Competitive daily rate
19. Fully remote role
20. Opportunity to work on cutting-edge projects
21. Collaborative and innovative work environment.

If you are a motivated Python/Machine Learning Developer ready to take on a rewarding challenge, we encourage you to apply now!

Contact: Uma Nayar

Quote job ref: JN-022026-6936429

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