Senior Machine Learning Engineer at Intelligen Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, MLOps, SQL, APIs, CI/CD, Systems Design, Model Deployment, Orchestration, Monitoring, Reliability, gRPC, REST, Testing, Packaging, Cloud, Mentoring

Industry

IT Services and IT Consulting

Description

At Intelligen, we’re scaling fast, and intentionally. Over the past few years, we’ve built a strong reputation delivering complex data, AI and governance transformations for enterprise and mid-market organisations across Australia. This Senior Machine Learning Engineer role is primarily a software engineering + MLOps position focused on building and operating ML inference and pipeline systems (not deep data science/model training). You’ll work in a cross-functional squad with data scientists and product/BA/agile counterparts, helping move models safely into production with strong engineering practices. Design and build components of an ML platform that supports scalable, reliable model deployment and inference Develop and maintain ML pipelines (deployment, orchestration, monitoring, reliability) with strong engineering discipline Build and maintain APIs/services (Python-based) to serve models and platform capabilities Work heavily with SQL and data interfaces required to support ML pipelines (light-to-moderate data processing as needed) Implement and improve CI/CD practices for ML services and pipelines. Contribute to system design: propose robust architectures, trade-offs, and operational considerations. Collaborate closely with stakeholders and adjacent teams (project is in an early phase with frequent discussions). Mentor a mid-level ML Engineer within the squad; lift engineering standards and delivery confidence. Core software engineering foundation with demonstrated experience delivering production systems, including: Strong Python engineering (clean code, testing, packaging, performance-aware development). Experience building APIs / backend services (REST/gRPC or similar). Strong SQL capability. Experience with systems design (designing maintainable, scalable services/pipelines). Practical MLOps / ML pipeline experience (deployment/inference pipelines; orchestration; monitoring; reliability) Exposure to CI/CD and modern engineering practices Cloud experience in at least one major provider; GCP preferred (team is on GCP), but other-cloud experience is acceptable if you can ramp quickly. We’re not just delivering AI and data projects, we’re humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo. We look for people who are driven to build a business, get curious, and offer up their opinions and ideas. As well as: Work From Home - Flexible hours Training & Development Free Food & Snacks Many socials and community groups Opportunity to drive projects that are of interest to you! You’ll work with a team that’s smart, kind, and ambitious. You’ll have real influence in your projects, your practice, and our business. And as we grow, so will you.

Responsibilities

This role focuses on building and operating ML inference and pipeline systems, requiring the design and construction of components for a scalable and reliable ML platform. Responsibilities include developing and maintaining ML pipelines, building Python-based APIs/services to serve models, and implementing CI/CD practices for ML services.