Machine Learning and Automation Specialist

Great opportunity to join an ASX 50 leader both in business and the Technology they utilise as a Machine Learning and Automation expert. The role will be working with the business to identify opportunities for Ai and ML which is a high level of sponsorship within the organisation.

As an AI/ML Specialist, you'll work closely with technology team and business stakeholders to generate data driven actionable insights using state of the art advanced analytical techniques with a view to create robust solutions that deliver business value.

The principal tasks of the role include, but are not limited to:

• Foster strong partnerships with technology and business to inspire and deliver the commercial value proposition of AI/ML and actively manage and deliver initiatives that align to targeted business areas.
• Design, build, operationalize scalable, reliable and cost effective AI/ML pipelines by leveraging the industry standard out of the box cloud based ML models.
• Ability to identify insights from large structured and unstructured datasets and present findings to stakeholders at all levels.
• Advanced knowledge in AI/ML concepts(learning/explanation, regularisation, hyperparameter optimisation, model/data drift testing, bias variance and validation methods) with a hands on experience in operationalizing, training, retro-fitting and automating end to end aspects of ML models.
• Strong grasp of data life cycle management (ingestion, transformation, persistence, retrieval) and solid understanding of data engineering/data science principles with an ability to use state of art methods and programming languages.
• Establish best practises, optimize and continuously monitor the health of the AI/ML platform and carve a way for the team to build and grow machine learning capability.
• Possess strong critical reasoning, strategic and tactical problem solving skills with a demonstrated ability to work independently as well as operative effectively in a team environment.
• Network with internal and external partners, train and evangelize AI/ML principles and techniques with the wider community.

Mandatory

• Bachelor's degree or higher in Engineering, Computer Science, Mathematics, Statistics or other quantitative disciplines
• A minimum of 2 years commercial experience in advanced analytics role.
• A minimum of 2 years' experience working in technology teams with a hands on expertise of the life cycle management of AI/ML models in a production environment.
• Experience in applying wide variety of statistical and modelling techniques with larger data sets.
• Experience in building and productionizing out of the box AI/ML models in a distributed cloud technology (AWS preferred).
• Proficient in coding (Git/Jenkins) and experience in several languages(Python, SQL) with a focus on AI/ML techniques.
• Strong understanding of data modelling and data warehousing principles
• Strong team player and communications and ability to articulate at all levels of the business
• Strong analytical and problem solving skills with a high degree of initiative and flexibility

Desirable

• AWS platform
• Snowflake & Informatica
• Tableau experience
• Project management
• Agile & Product Management
• CI/CD Devops practices
• API build and management
• R and Spark