Machine Learning Engineer

Company Description

At The Good Guys, we’re here to help families live better for less. Since 1952, we’ve been delighting customers with unbeatable deals and exceptional service and advice with their home appliances and consumer electronics.

We offer the best value, world-class brands and exceptional customer service across our 100+ store network, online, and in our commercial division, The Good Guys Commercial.

Great careers start at The Good Guys – begin your journey with us today.

Why join The Good Guys?

• Fast paced and exciting environment where diversity is celebrated, and creativity and ideas are valued.
• Competitive remuneration to recognise our team for their effort, which depending on the role, may include generous sales commission and other fantastic incentives to celebrate success.
• Access to exciting career opportunities and comprehensive training and development programs as part of the broader JB Hi-Fi Group (which includes JB Hi-Fi Australia, JB Hi-Fi New Zealand, The Good Guys and E&S Trading).
• Fantastic discounts across the JB Hi-Fi Group, including access to VIP supplier pricing and promotions.
• We offer 12 weeks paid parental leave for eligible primary carers (and a gift for new parents) and we embrace flexibility and offer hybrid working models for eligible roles.
• Our Employee Assistance Program (EAP) provides counselling and wide array of other wellbeing resources for our team members and their families.
• Our Helping Hands workplace giving program has raised millions for our charity partners to support positive impact in the community.
• Demonstrating our commitment to sustainability, we are on track to reach our goal of net zero carbon emissions by 2030 and continue to improve the way we reduce, reuse, and recycle.
  
  

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. A hypothesis is generally made, tested and validated 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

• Inspire trust between yourself and other members of the team and business.
• Create plots and graphs to explain feature distribution of data.
• Create linear/classification/clustering/time series models in multiple frameworks.
• Use DNNs to analyse text and audio.
  
  

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!

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!