Senior ML Engineer — Deliver Production AI Solutions

Akkodis

Canberra

On-site

AUD 120,000 - 180,000

Full time

3 days ago
Be an early applicant
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

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

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.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior Machine Learning Engineer
Senior Machine Learning Engineer

Akkodis • Canberra

On-site
AUD 120,000 - 180,000
Weekly Pay
Upskilling opportunities
Diversity & Inclusion initiatives
Senior AI/ML Engineer — Production-ready NLP & MLOps
Senior AI/ML Engineer — Production-ready NLP & MLOps

Ressam Pty Ltd • Canberra

Hybrid
AUD 140,000 - 190,000
MLOps Engineer
MLOps Engineer

Umbrella Club • Sydney

On-site
AUD 140,000 - 190,000
AI/ML Computational Scientist
AI/ML Computational Scientist

Accenture • City of Melbourne

On-site
AUD 180,000 - 260,000
Senior ML Infra Engineer for High-Performance AI
Senior ML Infra Engineer for High-Performance AI

United States Digital Space LLC • Town Of Cambridge

On-site
AUD 140,000 - 190,000
Senior MLOps Engineer — Scalable AI Platforms & GenAI
Senior MLOps Engineer — Scalable AI Platforms & GenAI

Kaizen Global Technologies • Sydney

On-site
AUD 150,000 - 190,000
Enterprise AI/ML Engineer — Production‑Ready Solutions
Enterprise AI/ML Engineer — Production‑Ready Solutions

Downer • City of Melbourne

On-site
AUD 150,000 - 190,000
ASX-listed company
Professional development programs
Flexible work arrangements
+4
AI/ML Engineer (Azure & Databricks)
AI/ML Engineer (Azure & Databricks)

Resource Corner • Sydney

On-site
AUD 100,000 - 130,000
MLOps Lead
MLOps Lead

Kaizen Global Technologies • Sydney

On-site
AUD 150,000 - 190,000
AI-Driven DevOps Lead for Kubernetes & ML Infra
AI-Driven DevOps Lead for Kubernetes & ML Infra

Charterhouse Partnership • Sydney

On-site
AUD 150,000 - 210,000