Reejig is hiring a
Senior Machine Learning Engineer

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Reejig

๐Ÿ’ต ~$140k-$275k
๐Ÿ“Remote - Australia

Summary

Reejig is seeking a Senior Machine Learning Engineer for a remote position in Sydney. The role involves developing algorithms and models, data selection and feature engineering, model setup and tuning, end-to-end ML pipeline design, collaboration with cross-functional teams, and continuous learning.

Requirements

  • Bachelorโ€™s or Masterโ€™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
  • Extensive hands-on experience in NLP techniques and tools with a proven track record of applying these in real-world projects
  • 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

Responsibilities

  • Algorithm and Model Development
  • Data Selection and Feature Engineering
  • Model Setup and Tuning
  • End-to-End ML Pipeline Design, Implementation, and Maintenance
  • Utilization of Machine Learning Models and Large Language Models (LLMs)
  • Data Operations
  • Collaboration with Cross-functional Teams
  • Continuous Learning

Preferred Qualifications

A proactive approach to learning and applying new techniques to improve machine learning models and processes

Benefits

  • Impact: Be part of a team that is transforming the future of work with cutting-edge AI technology
  • Growth: Take on a role with significant growth potential as our company expands
  • Culture: Join a collaborative and supportive team environment where your contributions are valued
  • Innovation: Work at the forefront of AI and workforce optimization

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