Senior ML Engineer — Production AI, Backend & Team Leadership

Professional Search Group; Western Australia; On-site; AUD 100,000 - 130,000; Full time

Benefits offered by this job

Opportunity to join a high-growth technology company

Modern technology stack

Long-term growth and career progression opportunities

Job summary

Professional Search Group is seeking a Senior Machine Learning Engineer to join a growing technology company in Perth. In this hands-on position, you'll be responsible for full-stack software development and machine learning. You'll design and deploy machine learning models, develop APIs, and mentor team members.

This role offers significant influence over the technical direction and collaborative culture, along with the opportunity to work on challenging problems at scale.

Qualifications

• 5+ years of commercial Software Engineering experience.
• Proven experience building, deploying and supporting machine learning solutions in production.
• Experience working with relational databases such as PostgreSQL or MySQL.

Responsibilities

• Design, develop and deploy machine learning models into production environments.
• Develop scalable backend services and APIs using Python.
• Mentor engineers and promote engineering best practices.

Skills

Commercial Software Engineering experience

Python development

Building machine learning solutions

Backend systems and APIs development

Software architecture understanding

Docker and container environments

Relational databases experience

Fast-paced product environment performance

Tools

PostgreSQL

MySQL

PyTorch

ReactJS

C++

Job description

Professional Search Group is seeking a Senior Machine Learning Engineer to join a growing technology company in Perth. In this hands-on position, you'll be responsible for full-stack software development and machine learning. You'll design and deploy machine learning models, develop APIs, and mentor team members.

This role offers significant influence over the technical direction and collaborative culture, along with the opportunity to work on challenging problems at scale.