At a Glance
- Tasks: Design and automate AWS platforms for cutting-edge AI and machine learning projects.
- Company: Join BLACKROC, a leader in tech recruitment with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible work arrangements, and opportunities for growth.
- Other info: Work in a dynamic team with a commitment to diversity and inclusion.
- Why this job: Make an impact by turning AI prototypes into secure, production-ready services.
- Qualifications: Experience with AWS, CI/CD pipelines, and containerisation is essential.
The predicted salary is between 56250 - 68750 $ per year.
Duration: 12 month initial contract + 12 month extension option
Location: Sydney, Melbourne or Brisbane
Work Arrangements: Hybrid, flexible WFH
Eligibility: Australian citizens only
Company Overview
BLACKROC is partnering with a major Commonwealth government agency to recruit a Machine Learning Engineer.
Role Purpose
Join a multidisciplinary data science and AI team as the engineer who turns promising AI prototypes into secure, production-ready services. You’ll design and automate the AWS platforms, pipelines and container environments behind generative AI, RAG, machine learning and analytics products used right across the organisation.
Key Responsibilities
- Design, build and maintain AWS infrastructure supporting AI, ML, data science and software workloads
- Implement Infrastructure as Code using Terraform, AWS CDK or CloudFormation
- Build and maintain CI/CD pipelines covering build, test, security scanning and deployment
- Deploy and support containerised applications on Docker, Kubernetes and Amazon EKS
- Develop monitoring, logging, alerting and observability capabilities
- Lead troubleshooting, incident investigation and root cause analysis
- Implement security controls, IAM, secrets management and secure deployment practices
- Support MLOps and LLMOps capabilities for model deployment, evaluation and monitoring
- Produce runbooks, technical documentation and reusable engineering standards
Required Skills & Experience
- Demonstrated experience designing, deploying and supporting cloud solutions on AWS
- Demonstrated experience building and maintaining reliable CI/CD pipelines
- Infrastructure as Code experience (Terraform, AWS CDK, CloudFormation or equivalent)
- Containerisation and orchestration experience with Docker and Kubernetes (EKS preferred)
- Experience implementing monitoring, logging and observability for cloud platforms
- Proven ability to troubleshoot complex infrastructure, deployment and operational issues
- Australian citizenship and the ability to obtain NV1 clearance
Preferred Skills & Qualifications
- Experience supporting machine learning, AI or data science platforms
- MLOps, LLMOps or AI model deployment and monitoring experience
- Familiarity with Amazon Bedrock and generative AI or RAG deployments
- Cloud security, identity and access management, secrets management and compliance automation
Contact Information
For more information please contact Usama at *****@blackroc.co or on 0414 330 ***.
Equal Opportunity Statement
At BLACKROC Recruitment, we are committed to fostering diversity, equity, and inclusion. We welcome applications from individuals of diverse backgrounds, including those with lived experiences. If you require any adjustments during the recruitment process, please don’t hesitate to reach out to the above-mentioned BLACKROC Consultant.
Machine Learning Engineer in Sydney employer: Blackroc
At BLACKROC, we pride ourselves on being an exceptional employer, offering Full Stack Developers the chance to work on impactful projects within a supportive and inclusive environment. Located in Brisbane, our team enjoys flexible work arrangements, including two days of remote work, and is dedicated to fostering professional growth through hands-on experience with cutting-edge technologies like AWS and modern development frameworks. Join us to be part of a collaborative culture that values diversity and empowers you to take ownership of your work while contributing to meaningful government initiatives.
