Mlops Engineer
vor 1 Woche
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
#J-18808-Ljbffr
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