Looking for your next opportunity in a lead role working with exciting machine learning and AI tech?
Your new company
Located in Melbourne CBD, your new company is one of the largest life insurers in Australasia proudly serving 1.1 million customers.
Working to improve and implement AI risk mitigation practices into their business, they are looking for a Lead Data Scientist to join their team.
Your new role
Reporting to the head of Advanced Analytics, Data Science and AI, your new role will play a pivotal role in productionising ML models into business processes and systems. This role will also be key in implementing AI risk mitigating and monitoring approaches.
Your will be responsible for:
Constructing e2e ML (Machine Learning Ops (including CI/CD)pipelines solutions with integration into business processes and systems
Coach and advise on optimal H2O DS approaches
Consult on AI risks mitigation/monitoring approaches and ML delivery processes
Capability development for Advanced Analytics, Data Science and AI
Continuous improvement of BAU tasks
What you'll need to succeed
3-4 years of experience in Machine learning/AI and DevOps
Experience working with cloud based environments (preferably Azure or AWS)
Solid experience in Snowflake, Python, and SQL
Exposure and experience working with AI tools including H2O.ai
Strong experience working with e2e ML Ops including CI/CD and working with large data warehouses
What you'll get in return
Great working culture and exposure to AI and Machine Learning technologies
Up to fully remote work balance
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV to firstname.lastname@example.org, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.
LHS 297508 #2707914
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