Senior Machine Learning Engineer

Akkodis; Canberra; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Weekly Pay

Upskilling opportunities

Diversity & Inclusion initiatives

Job summary

Akkodis is seeking a Machine Learning Engineer to design, develop and deploy AI solutions across multiple cloud platforms in a contract-based role. The candidate will drive experiments from PoC to production, applying NLP, CV, and transformer models within a multidisciplinary team.

You will contribute to MLOps, model monitoring and operationalisation, while delivering scalable AI solutions and documentation to support business needs and compliance requirements.

Qualifications

• Strong experience as a Machine Learning Engineer, AI Engineer or similar.
• Proven experience delivering AI/ML models and solutions from experimentation/POC through to production.
• Strong hands-on experience with Python, PyTorch and Transformer-based models.
• Experience with NLP, LLMs and classical machine learning.
• Experience developing Computer Vision models, including CNNs and/or VLMs.
• Strong understanding of MLOps and DevOps practices, including experiment tracking and tools such as MLflow.
• Experience working with cloud platforms AWS, Azure or GCP.
• Relevant ICT qualifications and/or industry certifications.

Responsibilities

• Design, develop, evaluate and deploy machine learning and AI solutions.
• Take AI/ML initiatives from Proof of Concept through production and operational use.
• Develop and maintain production ML capabilities within a multidisciplinary team.
• Apply NLP, Transformer models, Computer Vision and classical ML techniques to solve business problems.
• Implement and support MLOps practices, including experiment tracking, evaluation, monitoring and operationalisation.
• Deliver AI and automation solutions using AWS and other cloud platforms.
• Contribute to AWS serverless application delivery, with AWS CDK experience highly desirable.
• Prepare PoC reports, technical documentation, evaluation papers and recommendations.
• Support knowledge transfer to internal personnel and contribute to improving organisational AI capability.

Skills

ML Engineer

AI Engineer

Python

PyTorch

NLP

Computer Vision

MLOps

AWS

Azure

GCP

Education

ICT qualifications

Tools

MLflow

Transformer models

AWS

Azure

GCP

Job description

Contract - 12 months with 2 extension Contract

Location - QLD, ACT, VIC, NSW

Security clearance - Baseline

Competitive Remuneration

Machine Learning Engineer

What is it for you?

Contract - 12 months with 2 extension Contract

Location - QLD, ACT, VIC, NSW

Security clearance - Baseline

Competitive Remuneration

What we need from you

• Strong experience as a Machine Learning Engineer, AI Engineer or similar
• Proven experience delivering AI/ML models and solutions from experimentation/POC through to production.
• Strong hands-on experience with Python, PyTorch and Transformer-based models.
• Experience with Natural Language Processing (NLP), LLMs and classical machine learning.
• Experience developing Computer Vision models, including CNNs and/or VLMs.
• Strong understanding of MLOps and DevOps practices, including experiment tracking and tools such as MLflow.
• Experience working with commercial cloud platforms such as AWS, Azure or GCP.
• Relevant ICT qualifications and/or industry certifications.

Why/About Our Client?

Our client offers a variety of benefits, including a strong focus on work-life balance, a diverse and inclusive work environment. Also known for its commitment to sustainability, community engagement, and innovation.

What you'll do

• Design, develop, evaluate and deploy machine learning and AI solutions.
• Take AI/ML initiatives from Proof of Concept through production and operational use.
• Develop and maintain production ML capabilities within a multidisciplinary team.
• Apply NLP, Transformer models, Computer Vision and classical ML techniques to solve business problems.
• Implement and support MLOps practices, including experiment tracking, evaluation, monitoring and operationalisation.
• Deliver AI and automation solutions using AWS and other cloud platforms.
• Contribute to AWS serverless application delivery, with AWS CDK experience highly desirable.
• Prepare PoC reports, technical documentation, evaluation papers and recommendations.
• Support knowledge transfer to internal personnel and contribute to improving organisational AI capability.

Desirable Skills

• AWS CDK / Infrastructure-as-Code
• AWS Lambda and serverless technologies
• AWS cloud architecture
• CI/CD and DevOps
• MLflow
• LLMs and Generative AI
• Computer Vision / VLMs
• Experience working within government or highly regulated environments

Why Join Akkodis?

Weekly Pay

No payrolling processing fees

Upskilling opportunities and training discounts

Associate gatherings events

AKKODIS SME meet ups/information sessions

EAP Support Program

Dedicated Account Management support team

Akkodis is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive workforce and encouraging applications from all backgrounds.