AI Systems Developer

6 days ago

Sydney, New South Wales, Australia beBeeEngineer Full time
About Us

We're a leading provider of innovative solutions in Workers Compensation and Personal Injury Claims Management.

Our mission is to support people throughout their return-to-work journey, fostering a culture of ongoing growth and development within our team.

The Opportunity

We're seeking a talented Machine Learning Operations (MLOps) Engineer to join our AI team. As we expand, this role will play a key part in driving multiple AI initiatives that transform the way we service our customers.

You'll be at the forefront of operationalising machine learning and AI models, ensuring they are seamlessly deployed, monitored, and maintained within scalable, secure, and reliable production environments.

Working closely with data scientists, engineers, and business stakeholders, you'll help integrate AI-driven solutions into core business processes, delivering tangible outcomes that support both SME and Enterprise businesses.

Responsibilities
  • MLOps Pipelines: Design, develop, and optimise MLOps pipelines to support the full lifecycle of ML/AI models, including deployment, monitoring, and retraining, following DevOps and MLOps best practices.
  • Cloud Infrastructure: Build scalable, secure, and cost-effective cloud infrastructure for ML/AI solutions using Infrastructure as Code, ensuring systems meet functionality, performance, and reliability requirements.
  • Security and Compliance: Ensure compliance with security and data privacy standards across all MLOps activities, proactively addressing vulnerabilities and operational risks.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to understand business requirements and seamlessly integrate ML/AI models into production applications and workflows.
  • Monitoring and Troubleshooting: Develop and maintain robust logging, monitoring, and alerting solutions for ML/AI models in production, troubleshooting model and infrastructure issues as they arise.
About You
  • Experience: 3+ years of demonstrated experience in MLOps.
  • Technical Skills: Extensive experience in deploying ML/AI models on private and public cloud platforms, with a focus on AWS services such as S3, SageMaker, EKS, Lambda, API Gateway, VPC, and CloudWatch.
  • Programming Languages: Strong programming skills in Python, shellscript, and Infrastructure as Code tools like Terraform or CDK.
  • MLOps and CI/CD: A solid understanding of MLOps and CI/CD pipelines for deploying ML/AI models, with hands-on experience in containerisation and Kubernetes.
  • Machine Learning Algorithms: Extensive knowledge of ML algorithms and frameworks including PyTorch, TensorFlow, LLM, and generative AI.
What We Offer
  • Culture of Inclusion: We stand together as equals, fostering a culture that celebrates diversity and inclusion.
  • Employee Benefits: Comprehensive employee benefits, including flexible work arrangements, career opportunities, and professional development support.
  • Recognition and Rewards: Quarterly recognition and rewards programs to acknowledge employee achievements and contributions.
Seniority Level and Employment Type
  • Seniority Level: Mid-Senior level
  • Employment Type: Full-time

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