In-Demand Senior machine learning engineer Jobs in Brooklyn, Vic

Revenue Systems Engineer
FrankieOne —Melbourne VIC
- Contract
- Hybrid work
- APIs
- AI
4d
Data Scientist / Senior Data Scientist (Grid Insights)
Gridsight —Collingwood VIC
- Full-time
- Doctoral degree
Quick Apply
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Senior/Software Engineer (Backend, Java) - Risk
Binance —Melbourne VIC
- Full-time
- Remote
- Master's degree
- SQL
- Analysis skills
Quick Apply
Senior Software Engineer/Architect - C++ (Must Have Aus Citizenship)
The Argyle Network —Melbourne VIC
- $150,000 a year
- Full-time
- Hybrid work
- Communication skills
Lead C++ Software Engineer
The Argyle Network —Melbourne VIC
- $150,000 a year
- Full-time
- Hybrid work
Senior Software Engineer (Python/Django)
Kraken —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- AI
Quick Apply
Senior Applied AI Engineer
Culture Amp —Preston VIC
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
- Parental leave

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senior machine learning engineer jobs near brooklyn, vic

Revenue Systems Engineer

FrankieOne -
Melbourne VIC

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Job Details

Contract
4 days ago

Qualifications

Data modelling
Xero
APIs
Redshift
HubSpot
AI

Full Job Description

Role Purpose

Design, build, and own the production systems that power FrankieOne's revenue operations. The Revenue Systems Engineer is a senior technical role responsible for end-to-end ownership of data pipelines, AI/ML platforms, automation infrastructure, and internal tooling that enable the RevOps function to operate at scale. This is not a support or maintenance role — it is an engineering ownership role with direct business impact.

You will work within the Leverage Team, partnering closely with the Revenue Systems Engineer and the RevOps Manager to identify high-leverage problems and translate them into reliable, measurable production systems embedded in daily workflows across operations, management, sales, and client teams.

Key Responsibilities

AI & Machine Learning Systems (~35%)

Design, build, and maintain end-to-end ML systems including training pipelines, model serving, and API deployment for revenue-impacting use cases (scoring, classification, prediction).
Develop and operate AI-powered content generation and analysis systems that produce production-ready output at scale.
Build evaluation pipelines, feedback loops, and regression monitoring frameworks to ensure ongoing model performance.
Own the full lifecycle of deployed AI systems, including architecture, deployment, performance monitoring, and continuous improvement.
Identify high-value automation opportunities across the revenue workflow and design AI-first solutions to address them.

Data Platform & Backend Engineering (~30%)

Design and operate high-throughput data pipelines processing millions of records per day across both batch and real-time modes.
Build and maintain backend APIs and processing services that integrate HubSpot, Xero, Redshift, and other revenue-critical systems.
Architect scalable, low-latency data infrastructure that supports operational, analytical, and reporting needs.
Develop commission calculation engines, financial reconciliation systems, and contract data extraction pipelines.
Own data quality monitoring, alerting, and incident response for production systems.

Internal Platforms & Tooling (~20%)

Build internal tools and dashboards (React, Python) that are adopted and used daily across sales, operations, and management teams.
Develop email processing, workflow classification, and automation APIs that remove manual work from operational processes.
Create reporting and analytics services for enterprise clients and account managers.
Build training data systems and evaluation infrastructure that enable the team to develop and iterate on AI capabilities.
Maintain and improve the existing portfolio of production RevOps tools with a focus on reliability and performance.

Engineering Standards & Collaboration (~15%)

Take end-to-end technical ownership of projects, from architecture and scoping through to production deployment and ongoing operation.
Document systems, APIs, and data models to reduce key-person dependency and enable team scaling.
Establish and maintain engineering best practices including code review, testing, monitoring, and deployment standards.
Partner with the Senior RevOps Manager to identify the highest-leverage technical investments and translate business needs into engineering specifications.
Upskill and mentor the RevOps Manager in Python, automation, and AI tooling.

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Refine Your Search

senior machine learning engineer jobs in brooklyn, vic

Revenue Systems Engineer

Data Scientist / Senior Data Scientist (Grid Insights)

Senior AI Engineer, Data Science

Senior/Software Engineer (Backend, Java) - Risk

Senior Software Engineer/Architect - C++ (Must Have Aus Citizenship)

Lead C++ Software Engineer

Senior Software Engineer (Python/Django)

Senior Applied AI Engineer

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