Machine Learning Engineer - Canberra, Australia - Recruitment Hive

    Recruitment Hive
    Recruitment Hive Canberra, Australia

    Found in: Talent AU C2 - 1 week ago

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    Description
    • month contract – June 24 Start
    • $140 – $165 per hour (inc-Super) – Market Estimate
    • ACT (Woden) or Remote / WFH
    • Obtain your Baseline Security Clearance

    Our client, a large Federal Government Organisation, who administers intellectual property rights & legislation relating to patents & trade marks, are Seeking the experience of a Machine Learning (ML) Engineer (Python, MLOps) for a long month contract.

    Duties of theMachine Learning (ML) Engineer (Python, MLOps)

    • Delivering innovative AI/ML production solutions to solve complex business problems.
    • Researching, designing, implementing, testing, and monitoring AI/ML solutions.
    • Building AI/ML models from scratch and helping product managers and stakeholders understand results.
    • Delivering effective documentation and presentations to technical teams and stakeholders.
    • Building new and improving existing MLOps pipelines.

    Skills & Experience Required

    • Experience in AI/ML technologies and proven ability to deliver successful Machine Learning models, proof-of-concepts, and AI solutions using techniques and technologies such as Natural Language Processing, Deep Learning, Classification, and Image Recognition.
    • Experience in MLOps or DevOps.
    • Experience in full stack development.
    • Effective communication skills with ability to explain or translate complex models and findings to business stakeholders.
    • Experience with commercial cloud platforms (AWS, Azure, GCP) (desired).
    • Relevant ICT qualifications and / or Industry certifications, and experience in DevOps and MLOps product lifecycle from inception to production (desired).

    How to Apply

    Please forward your resume to Ben Cousins at Recruitment Hive by clicking the Apply button, or email your resume to info @ citing Job ID: BC9198. Alternatively you may call Ben on Applications close