Address
Form of work
Salary- Role Title: Machine Learning Engineer - Software
- Location: Melbourne
- Work Model: Hybrid (flexible)
- Salary Range: $130,000 - $150,000 + super + bonus
Technology Product
Born in Melbourne, with a vibrant internal culture and an expanding brand globally, this role sits with a small team that is developing some really exciting products!
Purpose of the role:
Your work will drive impactful solutions by leveraging data effectively, optimise algorithms, and enhancing products using AI.
You'll play a pivotal role in developing and deploying advanced Machine Learning models for tasks like OCR, IQA, security & risk, and image recognition.
Your duties also include platform maintenance, data security, integration with partners, and influencing product direction.
Culture:
Awarded Best Place to Work
Agile start-up environment, where strong collaboration, work quality/ethics, and creativity, are celebrated throughout project deliveries.
Operating within agile squads, you'll contribute significantly to business priorities and technical platform enhancement.
Qualifications:
- Software Engineering background, ideally working on Ruby or Java.
- Proven success in delivering ML models and deploying them in production.
- Commercial experience working with Deep Learning, Imagine Recognition, and Neural Networks.
- Previous experience working in scaling environments.
- Efficient with Python (Pandas, PyTorch, TensorFlow, Numpy etc).
- Efficient with AWS services.
- Degree in Computer Science or equivalent.
APPLY YOUR INTEREST:
Via the button below, ensure you answer the screening questions to the best of your abilities.
We know that some may not apply if they don't fill every criteria; if you tick a number of boxes and have a strong interest in this opportunity - we encourage you to apply!
What to expect:
- Shortlisted candidates will be contacted within the coming day(s), together we will talk through our client and your motivations in-depth. Should the stars align, we will proceed with your formal application directly to the client.
- Not-shortlisted candidates will be contacted from X Date and onwards via email.
3 step interview process (Meet & Greet, Behavioural and Technical Round)
Any Questions:
You are always welcome to reach out with any questions you may have about this role. My contact details are: ******@circuitrec.com.au
Timeline for Ideal Submission: by 1st March
We will start conducting interviews immediately and will prioritise submissions within this timeline to ensure an efficient hiring process.
Applications post this date risk not being considered for the role. Should this be the case, we will keep your profile in consideration for similar roles in the future.
Good luck!
- #SCR-claudia-franden
