Senior Machine Learning Engineer
Senior Machine Learning Engineer
Posted on :
12-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Publifts Data Science team are looking for a senior machine learning engineer to accelerate the implementation of novel machine learning products. You will be heavily involved in architectural and product design decision making and have a real impact on our customers businesses.
What the day to day will look like:
- Designing and implementing endtoend pipelines for model training evaluation and deployment.
- Automating a test framework for a suite of machine learning models. This may include:
- Developing integration and regression tests for ML components and data pipelines.
- Monitoring model performance and data drift using automated validation tools.
- Building tools to simulate edge cases productionlike scenarios and adversarial conditions.
- Operationalising and benchmarking shadow deployments to validate challenger model performance. This includes defining criteria for model promotion or rollback.
- Contribute to the research and development of new use cases or extend challenger models.
Qualifications :
We are looking for someone who can:
- Experience delivering methods/techniques/technologies that improve the speed at which we deliver new models.
- Experience proposing and delivering solutions and strategies that can tackle challenges within our ecosystem and demonstrate ways to iterate upon them.
- You can explain why a model is behaving the way it does and introduce challengers to account for these situations. Additionally you can communicate the implications for the business/product.
- You can communicate complex situations concepts clearly to both technical and nontechnical stakeholders articulating tradeoffs and decision rationale.
- Demonstrated extensive knowledge of ML system design from feature engineering to model selection and performance optimisation.
- Demonstrated ability to deploy rigorously tested challengers and define measurements of comparison with incumbents.
- Strong understanding of ML lifecycle from data preprocessing to deployment and monitoring.
- Strong foundation in statistics proficiency in Python and common ML frameworks and experience working with cloud platforms and containerised environments.
Additional Information :
A few other things we want to let you know about...
- Publift is an equal opportunity employer who prides themselves on fostering a diverse and inclusive workplace. We encourage everyone of all ages genders and backgrounds to apply. If youre a candidate with a disability or youll need some adjustments to be at your best let us know how we can provide you with additional support.
- We believe work satisfaction comes from two things: working in an unbelievably great team and solving customer problems that matter.
- We know how important keeping that balance between work/life is and have a range of flexible working options on offer including part time. We are open to this conversation during our recruitment process if you want to know more just ask!
- We are a proud Circle Back Initiative Employer which means we are committed to responding to every job applicant.
- Successful candidates joining the publift are required to undergo a National Police Record check and must have fulltime Australian working rights on an ongoing basis.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
