Lead AI Engineer

6 days ago

Sydney, New South Wales, Australia Karbon Full time
About this role and the work

We are seeking innovative, Lead AI & ML engineers who thrive in a fast paced environment. You will have the unique opportunity to take on greenfield projects within a supported team, backed by executive level investment.

Karbon is at the start of its AI journey. You will have the opportunity to shape our product and processes. The successful candidate will be capable of designing, implementing and maintaining AI models in a distributed production environment. You will be expected to be able to develop bespoke AI solutions (Not just using LLMs) to automate workflows, generate insights and create efficiencies for our users.

Some of your main responsibilities will include:

  • Designing AI systems - you know how to analyse problems and apply machine learning to solve them
  • Machine learning and AI development - you will be expected to develop a wide range of machine learning applications.
  • Model evaluation and selection - You look beyond the basic evaluation metrics and consider wider impacts.
  • Productionise AI - You own the process past deployment by owning production monitoring.
  • Data management - Work with data engineers to build and maintain data pipelines
  • Collaboration - You can work in a cross-functional team with data engineers, analysts and full stack developers.
About you

If you're the right person for this role, you have:

  • 7 years of experience developing and deploying AI/ML solutions
  • Experience in a tech lead role (architectural decision making, completing tech designs, coaching junior engineers)
  • Strong proficiency in LLM development and previous experience building autonomous agents (ADK, LangGraph, Agents SDK, etc.)
  • Strong proficiency in Python and relevant ML frameworks (Sklearn, Pytorch, Tensorflow, spaCy, etc.)
  • Strong understanding of traditional machine learning techniques (linear/logistic regression, randomForest, GBM, etc.)
  • Strong understanding of the machine learning development lifecycle, including MLOps, deployment and monitoring
  • A Bachelor's degree in Computer Science, Artificial Intelligence, Statistics, or equivalent experience is needed (Masters or PhD advantageous).

It would be advantageous if you have:

  • Experience developing and maintaining data pipelines (Snowflake, DBT, etc)
  • Previous experience in backend software development (in particular C#)
  • Previous experience in Azure is advantageous

Why work at Karbon?

  • Gain global experience across the USA, Australia, New Zealand, UK, Canada and the Philippines
  • 4 weeks annual leave plus 5 extra "Karbon Days" off a year
  • Flexible working environment
  • Work with (and learn from) an experienced, high-performing team
  • Be part of a fast-growing company that firmly believes in promoting high performers from within
  • A collaborative, team-oriented culture that embraces diversity, invests in development, and provides consistent feedback
  • Generous parental leave

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