Description:
About Ofload and our mission:At Ofload, we're at the forefront of digital freight services, empowering businesses to build efficient, flexible, and sustainable supply chains. Our mission is to achieve zero waste in trucking by digitising the transport industry.
Every day in Australia, around 30% of trucks travel empty and a further 50% are idle amounting to mass inefficiency and harmful environmental impacts.
Since 2020, we've successfully removed over 5 million empty kms from Australian roads. Our customer base has expanded to over 250 businesses, and we proudly support small business carriers by connecting them with household brands like Asahi, Metcash, and Noumi.
As part of our sustainability commitment, we partnered with Trace to measure, reduce and offset our scope 1, 2 and 3 emissions, actively working to minimise our own environmental impact.
In 2022, we propelled our growth through the strategic acquisition of a Melbourne-based logistics company, and raised $60m in Series B funding. Notably, we were recognised by the Australian Financial Review as one of Australia's Most Innovative Companies.
Fast forward to 2023, Ofload was named a Deloitte Tech Fast 50 Company in Australia, and secured the 4th spot on the LinkedIn Top Startups List 2023. And here's the exciting part - we're just getting started!
We are looking to grow our team and welcome people excited by the opportunity to transform the logistics industry. If you're ready to be part of a dynamic team driving change, join us on this incredible journey!
The Role:
We're currently looking for a talented Data Engineer / Machine Learning Engineer to help leverage our accumulated shipment data to build out a best in class AWS Data Warehouse for use by our Data Science and BI teams.
We are developing some game changing prediction and recommendation engines to disrupt the freight industry and there is an opportunity for the right candidate to get hands-on with not just the ETL process but to also collaborate with our Data Scientists to assist in feature engineering and optimise models for production deployment.
Responsibilities:
- Design, implement, and maintain scalable and reliable data pipelines from our production databases (PostgreSQL/MongoDB/TimeStream) using AWS Glue
- Collaborate with software engineering, data science and BI teams to understand data requirements and ensure data availability and quality
- Develop and deploy machine learning models using AWS SageMaker
- Manage and optimise AWS infrastructure components to ensure performance, scalability, and cost-effectiveness
- Implement and maintain monitoring and logging solutions for the data and machine learning pipelines
- Proven experience as a Data Engineer or Machine Learning Engineer, with a focus on AWS technologies
- Hands-on experience with AWS services such as S3, Glue, Redshift, SageMaker, Aurora and others
- Proficient in Python and Terraform / CDK
- Strong understanding of data modelling, ETL processes, and data warehousing concepts
- Experience deploying and managing machine learning models in production
At Ofload, our values are in our DNA and underpin the work we do every day. We are proud of the collaborative, diverse and innovative culture we continue to build. The Ofload team is motivated by a shared ambition to digitise the logistics industry and have a truckload of fun while doing it! As well as the opportunity to join a high-growth organisation with the ability to make a meaningful impact everyday, you will enjoy;
- Working in a hybrid environment with a split of in-office and working from home. Our philosophy on working is one built around connection, inclusion and flexibility
- Holistic wellness support for you and your family through our wellbeing partnership with Acacia Connection
- Generous parental leave entitlements including 16 weeks primary caregiver leave and continued superannuation contributions
- Annual learning and development budget to support your professional growth
- Paid volunteer leave to support the causes that matter to you
Ofload is committed to building diverse and inclusive teams, and a culture where people can bring their whole authentic selves to work each day. Applications are highly encouraged from Aboriginal and Torres Strait Islander people; and equity target groups including women, people from culturally and linguistically diverse backgrounds, people with disabilities, and people who identify as LGBTIQ.
We endeavour to create an equitable recruitment process with an even playing field for all candidates. If you require any adjustments to be made, please let a member of our recruitment team know.
22 Mar 2024;
from:
linkedin.com