Reejig is seeking an experienced Senior Machine Learning Engineer to join our remote team based in Sydney. This is a fantastic opportunity to be part of a venture-backed, rapidly scaling startup where you'll use cutting-edge technologies to solve fascinating problems and make a significant impact.
Responsibilities:
Algorithm and Model Development: Develop and refine algorithms and models leveraging deep knowledge of data schema, quality, rationale, and domain expertise.
Data Selection and Feature Engineering: Identify and select relevant data points, and perform feature engineering to optimise model performance.
Model Setup and Tuning: Choose and set up appropriate algorithms, fine-tune parameters, and continuously evaluate and monitor their performance.
End-to-End ML Pipeline: Design, implement, and maintain end-to-end production level machine learning pipelines on AWS, ensuring seamless integration and deployment.
ML Models and LLMs: Utilise machine learning models and large language models (LLMs) to meet business needs, and develop effective prompts to enhance LLM interactions and outputs.
Data Operations: Conduct bulk and incremental data operations to ensure data integrity and accessibility.
Collaboration: Partner with cross-functional teams, including data scientists, engineers, and domain experts, to drive successful project outcomes.
Continuous Learning: Stay updated with the latest advancements in machine learning and related fields to continuously improve skills and apply new techniques.
