Lead ML/AI Engineering Consultant

DiUS; Sydney; Hybrid; AUD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary and benefits

Flexible working arrangements

Professional development opportunities

Job summary

DiUS is seeking a Lead ML/AI Engineering Consultant to drive the development of machine learning and AI solutions that deliver business value for clients. You will lead technical initiatives, collaborate with data scientists and engineers, and guide teams to successful deployments.

The role emphasizes leadership, cutting-edge ML/AI work, and ongoing professional growth in a flexible, client-focused environment.

Qualifications

• Strong background in machine learning and AI.
• Experience with programming languages such as Python or R.
• Familiarity with ML frameworks like TensorFlow or PyTorch.

Responsibilities

• Design and implement machine learning models and algorithms.
• Collaborate with data scientists and engineers to deploy AI solutions.
• Provide technical leadership and mentorship to team members.
• Stay up-to-date with the latest advancements in ML/AI technologies.

Skills

Machine learning

Problem solving

Analytical skills

Tools

Python

R

TensorFlow

PyTorch

Job description

We are looking for a Lead ML/AI Engineering Consultant to join our team. In this role, you will lead the development of machine learning and AI solutions that drive business value for our clients.

About the Role

We are looking for a Lead ML/AI Engineering Consultant to join our team. In this role, you will lead the development of machine learning and AI solutions that drive business value for our clients.

Responsibilities

• Design and implement machine learning models and algorithms.
• Collaborate with data scientists and engineers to deploy AI solutions.
• Provide technical leadership and mentorship to team members.
• Stay up-to-date with the latest advancements in ML/AI technologies.

Requirements

• Strong background in machine learning and AI.
• Experience with programming languages such as Python or R.
• Familiarity with ML frameworks like TensorFlow or PyTorch.
• Excellent problem-solving and analytical skills.

Benefits

• Competitive salary and benefits package.
• Flexible working arrangements.
• Opportunities for professional development and growth.