Machine Learning Engineer

Direct message the job poster from The Nudge Group Director - Web 3.0; Data Science, AI, ML & Tech@The Nudge Group Join a team data scientists, machine learning engineers, cloud engineers, systems and software engineers with this super cool organisation in predictive analytics for sports.
Hybrid - 3 days in Sydney CBD office Key Responsibilities: Understand modelling concepts and be able to translate them into actual code.
Collaborate with data scientists and engineers to translate prototypes and research models into production-ready systems.
Maintain and improve data pipelines, modelling and reporting systems to support ongoing analytics and machine learning initiatives.
Continuously stay updated with the latest data science technologies, tools and industry trends to improve the modelling infrastructure and implement best practices.
Guide and support the data scientists in writing production ready code.
Conduct appropriate testing, meet code quality standards, and adhere to coding style guidelines.
Keep the architectural and technical documentation up to date.
Follow the company development processes and standards.
Work within an Agile environment with regular reports on progress, and honest realistic feedback on estimates and blockers.
Adhere to the very strictest standards for IP protection and security.
Qualifications: Postgraduate degree or equivalent professional experience in Computer Science (ML/AI), Data Science, Mathematics, Statistics or equivalent fields.
Proven experience in production implementations of predictive modelling systems.
Experience in designing and building Kubeflow pipelines or equivalent applications.
Experience with the optimisation of machine learning frameworks and libraries.
Knowledge of machine learning or statistical learning techniques.
Proficient in Python, SQL, bash among other scripting and programming languages.
Excellent problem-solving and critical-thinking skills.
Hands-on experience with data visualisation tools such as Looker Studio or Tableau Bonus up to 15% dependent on company and individual performance Subsidised health care for immediate family Paid parental leave Training courses Birthday leave There is a bi-annual overseas trips Team lunches, EOFY year celebrations, Christmas parties, social activities And get to work with the most talented maths team in Sydney Apply now Nicolle Hann-Dunbavin Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Technology, Information and Media and Data Infrastructure and Analytics Referrals increase your chances of interviewing at The Nudge Group by 2x Sign in to set job alerts for "Machine Learning Engineer" roles.
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