Job Description

Role Overview

Our client is seeking a Senior Machine Learning Engineer to architect and build a scalable recommendation and decision engine powered by real-time data pipelines and machine learning services. This role will lead the development of a Single Customer View platform that integrates transactional APIs, streaming data infrastructure, and cloud-native machine learning capabilities. This position requires experience building high-performance ML platforms, automated MLOps pipelines, and real-time decisioning systems in modern cloud environments.

Schedule

Flexible schedule during client business hours, Sydney, NSW (40 hours per week)

Responsibilities

Machine Learning Platform & Architecture

Productionize machine learning models in collaboration with Data Scientists, ensuring performance, scalability, and reliability.

Design and maintain MLOps pipelines that automate model training, testing, validation, and deployment.

Architect a Single Customer View platform that enables unified customer profiling and real-time decisioning.

Build scalable cloud-based data warehouse architectures supporting analytics and machine learning workloads.

Develop serverless functions and services using Python, Go, and SQL.

Data Engineering & Real-Time Processing

Design and implement high-performance streaming data pipelines for real-time analytics and decision engines.

Develop data ingestion pipelines using API integrations with retry and fault-tolerant mechanisms.

Build optimized data models supporting both transactional and analytical workloads.

Develop and maintain data orchestration workflows using modern workflow management tools.

Infrastructure, DevOps & Reliability

Implement and maintain Infrastructure-as-Code (IaC) using Terraform to provision and manage cloud infrastructure.

Build and optimize CI/CD pipelines to enable reliable and automated deployments.

Apply Site Reliability Engineering (SRE) practices to maintain system availability and performance.

Implement monitoring, alerting, and incident response systems for distributed applications.

Security, Compliance & Cost Optimization

Implement secure identity and authentication frameworks for distributed cloud workloads.

Ensure infrastructure and data pipelines comply with data privacy and security standards, including GDPR.

Drive cloud cost optimization initiatives, including serverless architecture adoption and infrastructure rightsizing.

Maintain clear and comprehensive technical documentation, including architecture diagrams and data lineage.

Requirements

Technical Skills

Expert-level proficiency in Python and SQL

Strong scripting experience using Shell

Working knowledge of Go

Cloud & Data Platforms

Strong experience working with Google Cloud Platform (GCP) services including

BigQuery

Vertex AI

Cloud Dataflow

Cloud Run

Google Kubernetes Engine (GKE)

Pub/Sub

Data Engineering

Experience building large-scale data pipelines and streaming architectures

Experience developing data warehouses and analytical data models

Experience building real-time data processing systems

Infrastructure & DevOps

Strong experience implementing Infrastructure-as-Code using Terraform

Experience managing CI/CD pipelines using GitHub Actions or GitLab

Experience with Cloud Build or Jenkins

Databases

Hands-on experience with PostgreSQL-based databases

Experience with NoSQL databases

Data & Analytics Tools

Experience working with Airflow (DAG development)

Experience using Looker / LookML

Experience developing and managing API integrations

Nice-to-Have Skills

Experience designing recommendation systems or ML-driven decision engines

Experience building real-time personalization platforms

Experience with distributed systems and event-driven architectures

Experience implementing serverless architectures

Preferred Certifications

GCP Professional Cloud Architect

GCP Professional Data Engineer

AWS Certified Solutions Architect

AWS Certified Data Engineer

Independent Contractor Perks

Permanent work from home

Immediate hiring

Health Insurance Coverage for eligible locations

Note

Please click the "Apply" button to complete your application, including the assessment questions, technical check, and voice recording. Your hourly pay rate will be established based on your performance in the application process; submissions with all requirements fulfilled will receive priority review.