Junior AI Engineer

BizCover who? You haven’t heard of us?

We dominate the SME business insurance market by having an online platform that makes comparing and buying business insurance a super easy process. Not to toot our own horn but we have been recognized in Deloittes fast 50 companies as one of the fastest growing technology companies and Westpac’s top 20 businesses of tomorrow - #killingit

About The Team:

BizAnalytics is a trusted internal brand, and a trusted team. We’re part of the wider Innovation and Growth team, and are jointly responsible for growth, and um.. innovation! Primarily, we’re about improving customer journeys at all stages of the insurance lifecycle, bringing a customer and product lens to BizCover’s decision making, to grow at scale in our Australian, and overseas, businesses.

We span the whole value chain, and a complete set of data skills, and drive value through insights, driving change, enabling better management decisions, and automating decisions with AI (and Machine Learning) live into our business

The Role:

We are looking for a talented ML/AI Engineer to join our business insurance company. This role sits at the forefront of a high-growth technology initiative driving the operationalization of machine learning (ML) and AI Solutions. You will be part of the data science team inside Analytics, working alongside data scientists, operations excellence manager, and collaborating across Operations, Risk, TechOps and Cyber to engineer robust, resilient AI and ML solutions.

Requirements

Roles and Responsibilities:

• Partner with the Data Scientist to operationalize ML models and build AI-powered processes, ensuring seamless deployment of business products like risk assessment tools, claims automation, and customer-facing insurance solutions.
• Implement and manage continuous integration/continuous deployment (CI/CD) processes for AI/ML systems to ensure reliability and rapid iteration of products.
• Hands-on experience with LLM deployment and integration of foundation models into business applications.
• Collaborate with cross-functional teams to integrate AI products into existing business systems, ensuring compatibility and efficiency.
• Fine-tune and evaluate AI/ML models based on real-world business requirements and feedback.

Your Experience:

• 1-2 years of experience in AI and MLOps, with a focus on deploying and managing AI/ML models in production.
• Proficiency in programming languages like Python and experience with MLOps tools (e.g., Kubeflow, MLflow, Airflow, or Docker).
• Familiarity with CI/CD practices and cloud platforms (e.g., AWS, Azure, Google Cloud) for scaling ML solutions.
• Experience with Multi-agent frameworks involving Voice and conversational AI interfaces is advantageous but not mandatory.
• Keep current with emerging AI and LLM developments and suggest enhancements or innovative solutions when relevant
• Bachelor’s degree in computer science, Engineering, Data Science, or a related field

• Hybrid working model with flexibility to work from home up to 3 days a week and a minimum of 2 days a week in the Sydney CBD office.
• Exciting and rewarding team culture
• Quarterly recognition awards
• Business Casual dress code
• Rewarding Employee Incentive Program
• Growing company with progression opportunities