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High-Growth Technology Solutions Engineer

3 weeks ago

Sydney, New South Wales, Australia beBeeMACHINELEARNING Full time $100,000 - $140,000

BizCover is a leading company in the SME business insurance market, simplifying the process of comparing and buying insurance through its online platform.

The BizAnalytics team aims to enhance customer journeys across the insurance lifecycle by leveraging data insights, automating decisions with AI and machine learning, and supporting strategic growth in Australia and overseas.

We seek a talented Machine Learning Engineer to join our high-growth technology initiative. The successful candidate will collaborate with various departments to develop and operationalize robust AI and ML solutions that support business processes such as risk assessment, claims automation, and customer engagement.

  • Partner with Data Scientists to deploy ML models and develop AI-driven processes for business applications.
  • Manage CI/CD pipelines to ensure reliable deployment and iteration of AI/ML systems.
  • Deploy and integrate foundation models, including large language models (LLMs), into business applications.
  • Collaborate with cross-functional teams to ensure seamless integration of AI solutions.
  • Evaluate and fine-tune AI/ML models based on real-world data and feedback.

Key responsibilities include:

• Deploying AI/ML models in production environments

• Managing CI/CD pipelines for AI/ML systems

• Integrating foundation models into business applications

• Collaborating with cross-functional teams for AI solution integration

• Evaluating and fine-tuning AI/ML models

Required skills and experience:

• 1-2 years of experience in AI and MLOps

• Proficiency in Python and familiarity with MLOps tools

• Knowledge of CI/CD practices and experience with cloud platforms

• Experience with multi-agent frameworks involving voice and conversational AI

• Stay updated with emerging AI and LLM developments

• Bachelor's degree in Computer Science, Engineering, Data Science, or related fields

Benefits include:

• Hybrid work model with up to 3 days remote work

• Inclusive and rewarding team culture

• Casual dress code and employee incentive programs

• Opportunities for career growth within a rapidly expanding company