ML Engineer: Deep Learning & AI Systems (Hybrid)

Nearmap; City of Melbourne; Hybrid; AUD 80,000 - 110,000; Full time

Benefits offered by this job

Quarterly wellbeing day off

Access to LinkedIn Learning

Technology allowance

Stocked kitchen

Job summary

A tech pioneer in location intelligence is seeking a Machine Learning Engineer to develop LLM-based solutions using Earth Observation data. You will work closely with data scientists to integrate models into workflows solving complex problems. The ideal candidate has a solid foundation in software development, machine learning fundamentals, and collaboration skills. This role offers a hybrid work model and several benefits including additional wellbeing days off.

Qualifications

• Formal education in a technical, data related field.
• At least 2 years experience writing production grade commercial software.
• Experience with LLM-powered systems is highly desirable.

Responsibilities

• Performs software engineering tasks for end-to-end AI systems.
• Designs, builds, and maintains components of an AI system.
• Collaborates with data scientists and other engineering teams.

Skills

Software development

Collaboration

Attention to detail

Machine learning fundamentals

Programming in Python

Linux environment

Education

Bachelor’s degree in computer science, engineering, statistics, or physics

Tools

Docker

Kubernetes

AWS

GCP

Git

Job description

A tech pioneer in location intelligence is seeking a Machine Learning Engineer to develop LLM-based solutions using Earth Observation data. You will work closely with data scientists to integrate models into workflows solving complex problems. The ideal candidate has a solid foundation in software development, machine learning fundamentals, and collaboration skills. This role offers a hybrid work model and several benefits including additional wellbeing days off.