- 6 months contract leading to permanent conversion
- Daily rate up to $850 incl. super
- Flexible working arrangement
- Cutting-edge cloud-based ML solutions with Petabytes of data
- Design and implement scalable and efficient machine learning pipelines on petabytes of data in a retail and digital setting
- Grow ML capabilities through innovation in new technology and tools to improve time to market, cost efficiency and performance of data science models
- Work in a cloud-centric environment using tools such as Kubernetes, BigQuery, Spark
- Assist data scientist in model deployment - both batch and real time - and lead best practices in MLOps
- Produce documentation including technical specifications
- Implement standards, process improvements and automation
- Participate in regular review and QA sessions
- Tertiary qualifications in a computer science field
- 2+ years of commercial software development experience
- Proven excellence in analytical thinking and the translation of unstructured and structured data into informative features for model consumption
- Strong communication and presentation skills (both verbal and written)
- Strong SQL skills with a solid understanding of databases, data structure and algorithms
- Solid Python and Linux skills
- Practical experience with ML algorithms, techniques and packages
- Must have full Australian work rights
- Java
- Apache Beam
- Deployment of real-time model serving APIs
- Frontend integration of ML models
- GCP Professional-level certifications
- Attractive daily rate - up to $850 incl. super
- Flexible working arrangement - the majority of the time you will be able to work from home
- Opportunity to be converted to a permanent role after 6 months based on performance
- Huge career growth with a household-named brand
- Cutting edge cloud based ML solutions - Kubernetes, Beam, Spark, real time API
- An opportunity to truly make a name for yourself and create your own career path/progression.
- Financial and technical support for gaining cloud certifications to boost your profile
- Employee mentoring program
- Professional development assistance
- Work from home
- 8 hour shift
- Sydney NSW: Reliably commute or planning to relocate before starting work (Preferred)
- Australia (Required)
Company
Location
Sydney - Australia
Job type
Full-Time
Python Job Details
Machine Learning Engineer
About us
Logickube is a leading analytics and AI consultancy. We help companies to accelerate their AI journeys and create a tailored experience for their customers. We partner with Google Cloud and Databricks to help our clients harness the power of cloud services to increase scalability and efficiency. We are a productive, innovative and energised team, consisting of top-tier data professionals. We now have an opportunity with one of our top-tier retail clients who is seeking TWO machine learning engineers to support their FY23 initiatives.
Tasks & responsibilities
Qualifications & experience
Highly desirable experience:
Benefits
Job Types: Fixed term, Contract
Contract length: 6 months
Salary: Up to $850.00 per day
Benefits:
Schedule:
Ability to commute/relocate:
Work Authorisation:
More Developer Job Boards
Fullstack Developer Jobs Golang Jobs JavaScript Jobs Python Jobs React Jobs Rust Jobs Java Jobs