Current Jobs

Please get in touch with our team to discuss our current openings as well as a tailored proactive approach to market for you.

« Back to LISTING

ML Engineer

Sydney | Full Time
Listed: 2021-11-04
We're working with a high growth and forward thinking global organisation who are working on some super exciting projects that will potentially make changes on a global scale.

The Senior Machine Learning Engineer’s role is to design, implement and test machine learning based solutions to improve decision-making and support business goals. You’ll be involved in projects that require strong analytical, problem-solving and communication skills as well as experience using a variety of machine learning methods, creating complex algorithms and software solutions, to build and productionise machine learning models.
    
Key responsiblities:
  • Design, code, verify, test, document, amend and refactor complex programs/ scripts and integration software services.
  • Design components using appropriate modelling techniques following agreed architectures, design standards, patterns and methodology.
  • Create multiple design views to address the concerns of the different stakeholders of the architecture and to handle both functional and non-functional requirements.
  • Model simulate and/or prototype the behaviour of proposed systems components to enable approval by stakeholders
  • Investigate data requirements, and apply data analysis, design, modelling, and quality assurance techniques, to establish, modify or maintain data structures and their associated components (entity descriptions, relationship descriptions, attribute definitions).
  
The ideal candidate will have:

  • 5+ years prior experience in building software solutions and manipulating data sets using Python
  • Proficient knowledge of Python ML tools (Pandas, NumPy, scikit-learn, LightGBM, XGBoost, PyTorch)
  • Strong understanding of database systems and SQL (PostgreSQL, SQL Server, Elasticsearch, Redis)
  • Familiarity with container-based cloud environments (AWS, Kubernetes, Docker)
  • Knowledge of machine learning techniques and concepts (tree-based learning, deep learning, clustering, etc.) and their real-world application
  • Experience in the fields of natural language processing (NLP)
This is an amazing chance to be a pioneer within this industry, don't hesitate to submit your application! 

#LI-Carl