Tech Lead | AI/ML
Melbourne - Hybrid Model
We're partnering with a leading Australian technology business looking for a hands-on Staff AI/ML Engineer to lead technical direction across its MLOps and Generative AI teams.
This newly created role focuses on building and scaling production AI solutions, from ML platforms to LLM applications and AI agents.
You'll work closely with Engineering Managers and senior engineers, owning technical design, engineering standards and architecture while remaining hands-on.
This is a technical leadership role with no people management responsibilities.
What You'll Be Doing
What We're Looking For
We're particularly interested in engineers who have progressed from software engineering or data science into ML engineering and GenAI.
You'll need to be comfortable solving complex problems independently, influencing technical direction and staying close to the code.
Why Consider This Role?
Interested?
If you're an experienced AI/ML engineer who enjoys building production systems and wants greater technical ownership, get in touch for a confidential discussion.
[email protected]
Melbourne - Hybrid Model
We're partnering with a leading Australian technology business looking for a hands-on Staff AI/ML Engineer to lead technical direction across its MLOps and Generative AI teams.
This newly created role focuses on building and scaling production AI solutions, from ML platforms to LLM applications and AI agents.
You'll work closely with Engineering Managers and senior engineers, owning technical design, engineering standards and architecture while remaining hands-on.
This is a technical leadership role with no people management responsibilities.
What You'll Be Doing
- Technical Leadership: Lead solution design, establish engineering standards and drive technical decisions across MLOps and GenAI teams.
- MLOps: Build and improve ML infrastructure, including feature stores, model deployment, lifecycle management and monitoring.
- Generative AI: Design and deliver production LLM applications, RAG pipelines, AI agents and automated workflows.
- AI Products: Develop customer-facing AI applications and internal AI solutions that automate business processes.
- Architecture: Build scalable, secure AI systems with strong evaluation, guardrails and observability.
- Technical Influence: Mentor engineers and help shape the AI platform's technical roadmap.
What We're Looking For
- Engineering Background: Strong software engineering or data science foundations, with hands-on production AI/ML experience.
- MLOps: Experience with ML pipelines, feature engineering, model deployment and monitoring.
- Generative AI: Practical experience with LLMs, RAG, LangChain, AI agents and guardrails.
- Programming: Strong Python skills, API development and software engineering best practices.
- Cloud & Platforms: Databricks and AWS preferred, although Snowflake, SageMaker, Azure or similar experience is welcome.
- Technical Leadership: Ability to own complex technical decisions, influence senior engineers and lead solution design.
We're particularly interested in engineers who have progressed from software engineering or data science into ML engineering and GenAI.
You'll need to be comfortable solving complex problems independently, influencing technical direction and staying close to the code.
Why Consider This Role?
- Newly created permanent role with genuine technical ownership.
- Work across both MLOps and Generative AI.
- Build production AI products and agentic systems delivering real business impact.
- Influence architecture and technical direction across multiple teams.
- Remain hands-on at Staff Engineer level without people management.
- Join an established business investing heavily in AI.
Interested?
If you're an experienced AI/ML engineer who enjoys building production systems and wants greater technical ownership, get in touch for a confidential discussion.
[email protected]