Machine Learning Engineer

Company Description
About Us
JB Hi-Fi Group is one of Australasia's largest and most trusted retailer groups. Specialising in consumer electronics, home entertainment, small appliances, and white goods. JB Hi-Fi's Purpose is to 'Help People with Better ways to Live, Learn, Work and Play'. We want to – own the tech and entertainment space, grow our customer base and support our people to be the best and deliver the highest quality service This is at the heart of our business, and we want you to be a part of it

Why join JB Hi-Fi?

• We have a supportive and inclusive team that embraces individuality and diversity
• We are one of Australia's most iconic and trusted brands, with a rich history in the consumer retail industry
• You will have exposure to ongoing training & development opportunities from day one
• We offer fantastic long-term career opportunities across the broader JB Hi-Fi/The Good Guys Group
• Did you know the JB team support vulnerable communities by making donations to our Helping Hands workplace giving program. Every dollar our team donates, JB matches and together we have donated more than $35m to our charity partners to make a meaningful difference to the social and environmental issues that our people are passionate about
• We offer generous team member discounts across a range of products as well as a leading commission structure for sales positions
• We offer flexibility, 12 weeks' paid parental leave, novated leasing, Employee Assistance Program and more

Job Description
As the
Machine Learning Engineer
, you will be responsible for partnering with the Data and Analytics team, IT and Business Users across both JB Hi-Fi and The Good Guys to:

Help the business to formulate hypothesis:
With keen insight, collaborate with key stakeholders to identify processes and business problems which are good candidates for machine learning or advanced analytic solutions. Once a hypothesis is made, test and validate solutions to to ensure the generated results are robust and correct, and the insights and learning's identified are communicated alongside a recommendation where required.

Design, build and share the results of models to the business:
Perform feature engineering on a wide range of structured, semi-structured and unstructured datasets. Identify the need for any additional datasets, pulling in samples to confirm the requirement. Choose the type of model that matches the problem and wrangle the data to match the requirements of the chosen model/s including identifying and understand any outliers

Lead us to a more data-driven culture
:
Expose finalised models back to the business to provide currently unseen insights into the JB group, enabling the business to improve processes and optimise efficiencies.

Key Responsibilities Include, But Are Not Limited To

• Through analysis and modelling, provide a greater understanding of the data
• Educate with insights stories and facts about the data back to the business.
• Inspire trust between yourself and other members of the team and business.
• Act in the best interests of the team and business
• Demonstrate a passion for all aspects of AI and ML.
• Demonstrate understanding and attention throughout all aspects of your work.
• Enthuse others to see the benefit of the team's work.
• Via creative thinking, help solve complex problems.
• Create plots and graphs to explain feature distribution of data.
• Explore datasets and define which features to use
• Perform feature engineering where required
• Create linear/classification/clustering/time series models in multiple frameworks.
• Use DNNs to analyse text and audio
• Create pipelines to train models and provide reproducibility
• Define and create inference endpoints

Qualifications
To be successful in this role, you will need:

• A naturally inquisitive and curious mind with a strong ability to problem solve, apply lateral thinking and work autonomously.
• Have good interpersonal communication skills
• Tertiary qualifications in a relevant field (e.g. computer science, data science, mathematics, statistics) or equivalent experience of up to 12 to 18 months.
• Worked in a similar position and can demonstrate in-depth what you built and how you built it
• Taken and passed a recognized AI/ML course such as Azure MS DP-100, AI-102 or AWS ML Specialty
• Demonstrate you are actively continuing ways of developing your skills
• Demonstrate statistical inference and decision intelligence with quantifiable data driven evidence.
• Demonstrate working knowledge of the main components of cloud-based data environments.
• Demonstrate the application of SQL fundamentals where required to support the exploration and profiling of data.
• Demonstrate solid python coding including loops, functions, dictionaries, lists
• In a Jupyter environment demonstrate manipulation of pandas dataframes including methods of creation as well as column, row and cell transformation
• Can demonstrate manipulation of Spark dataframes
• Have practiced implementation of feature engineering and data pre-processing techniques
• Understand and apply the fundamentals of supervised classification and prediction (regression) models and unsupervised clustering models.
• Have created models using deep neural networks and understand the theory of the network used.
• Have demonstrated the principles of model training, testing, generalisation, and validation techniques based on the type of model being deployed.
• Can design and implement ML/AI Ops, version control, CI/CD pipelines and automation of test plans.

Additional Information
If you are interested in this exciting opportunity with us, please click apply and upload your CV. All applications are strictly confidential.

JB Hi-Fi Group is an equal opportunity employer committed to providing a work environment that promotes diversity and inclusion. If this opportunity excites you (even if you feel that you don't meet 100% of the criteria) – please don't hesitate to apply
Please note: Unsolicited CVs from Agencies will not be accepted.