Reejig is hiring a
Senior Machine Learning Engineer, Remote - Australia

Summary

Reejig is seeking a Senior Machine Learning Engineer to join their remote team based in Sydney. The role involves developing algorithms and models, data selection and feature engineering, setting up and tuning machine learning pipelines, collaborating with cross-functional teams, and staying updated with the latest advancements in machine learning.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
• Minimum 5+ years of proven experience as an ML Engineer or similar role (e.g. Data Scientist or Data Engineer), with a focus on algorithm development and model building
• High proficiency in Python, and experience with ML frameworks like Keras, TensorFlow, PyTorch, or Scikit-learn
• Strong understanding of data schema, data quality, and data rationale, with the ability to work with large datasets and perform feature engineering
• Experience in setting up and maintaining end-to-end machine learning pipelines, including model selection, training, tuning, and deployment
• Proficient in utilising AWS cloud services for developing, deploying, and maintaining machine learning models and pipelines
• Familiarity with large language models (LLMs) and prompt engineering techniques
• Experience in performing bulk and incremental data operations
• Strong analytical and problem-solving skills, with a detail-oriented mindset
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and a fast paced environment
• A proactive approach to learning and applying new techniques to improve machine learning models and processes

Responsibilities

• Algorithm and Model Development
• Data Selection and Feature Engineering
• Model Setup and Tuning
• End-to-End ML Pipeline
• ML Models and LLMs
• Data Operations
• Collaboration
• Continuous Learning