MLOps Engineer

Who are Heidi? 

Heidi is on a mission to half the time it takes to deliver world class care. 

We believe that in 2050 every clinician will practice with AI systems that free them from administrative burden and increase the quality and accessibility of care to patients across the world. 

Today, we have a suite of tools that modernise documentation. Tomorrow, we’ll equip every healthcare org with AI assistants that undo the tediums of clinical & non clinical work

Our team is a potent mosaic of sage, accomplished  leaders & brilliant polymaths hungry to prove it. We achieve in 6 months what it takes our competitors 4 years to do.

We’ve  raised our $10M Series A led by Australia's largest VC firm, Blackbird Ventures and in the midst of our next raise, with an ambitious global go-to-market strategy starting with the US & UK. 

The Role

As an MLOps Engineer at Heidi, you'll be instrumental in scaling and securing our AI infrastructure, focusing on the deployment and operation of our machine learning systems in a highly regulated healthcare environment.

You'll work closely with our engineering team to build and maintain robust, compliant infrastructure for our AI-powered healthcare solutions.

What you’ll do:

• Design and implement secure infrastructure for hosting LLM services and speech-to-text solutions across AWS and GCP environments

• Lead the deployment and management of containerized ML services using Kubernetes (EKS/GKE)

• Implement and maintain monitoring systems for ML model performance and ML infrastructure health

• Establish and enforce security best practices and compliance requirements for healthcare AI systems

• Collaborate with ML engineers to support deployment of ML models and services and optimise ML pipeline efficiency and reliability

• Design and implement disaster recovery and high availability solutions for ML services

• Manage infrastructure as code using Terraform and other modern DevOps tools

Key Requirements:

• Strong experience with cloud infrastructure (AWS required, GCP beneficial)

• Hands-on experience with Kubernetes, preferably EKS or GKE

• Understanding of ML/AI deployment challenges and solutions

• Experience with implementing security controls and compliance requirements

• Knowledge of monitoring and observability practices for ML systems

• Strong networking and infrastructure security background

Preferred Qualifications:

• Experience with LLM deployments and optimisation

• Healthcare industry experience

• Infrastructure as Code experience (Terraform)

• Experience with speech-to-text services

• Understanding of HIPAA or similar healthcare compliance frameworks

• Experience with high-availability architectures

What we will look for:

• Problem-solving mindset with a focus on security and scalability

• Strong communication skills to work with cross-functional teams

• Ability to balance technical requirements with business needs

• Experience in fast-paced startup environments

• Dedication to maintaining high standards in a regulated environment

What do we believe in?

• We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.

• You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:

  • We will stop at nothing to improve patient care across the world.

  • We design user experiences for joy and ship them fast.

  • We make decisions in a flat hierarchy that prioritises the truth over rank.

  • We provide the resources for people to succeed and give them the freedom to do it.

Why you will flourish with us 🚀?

• Flexible work with a 50% hybrid environment

• Additional paid day off for your birthday and wellness days

• Full gym access in our Melbourne location and Sydney TBC..

• A generous personal development budget of $500 per annum

• Learn from some of the best engineers and creatives, joining a diverse team

• Become an owner, with shares (equity) in the company, if Heidi  wins, we all win

• The rare chance to create a global impact  as you immerse yourself in one of Australia’s leading healthtech startups 

• If you have an impact quickly, the opportunity to fast track your startup career!