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ML Engineer IT & Data Development

01.techAustralia🇦🇺Australia

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeRemote
LocationAustralia
SQLC++JavaPythonTypeScriptMachine Learning

Job description

  • Independently develop and implement machine learning models to address product and business needs
  • Design and build APIs to integrate ML models with internal services
  • Implement monitoring for model performance, prediction quality, and service reliability
  • Evaluate existing solutions, identify bottlenecks, and optimize performance
  • Translate business objectives into technical decisions, ensuring ML solutions deliver measurable value
  • Collaborate with the team to integrate ML solutions into the existing infrastructure
Requirements
  • Strong Python skills, including writing reliable, maintainable code, implementing ML logic, and developing APIs
  • Proficiency in SQL for data extraction, processing, and analysis
  • Solid understanding of core machine learning algorithms and hands-on experience applying them
  • Experience evaluating ML model performance and monitoring model quality
  • Ability to make independent technical decisions while keeping business objectives in mind
  • Nice to have experience with Java or familiarity with the architecture of Java-based services, Backend engineering experience in large-scale, high-load systems using Java, Python, or TypeScript, experience with low-level code optimization in C/C++
  • The opportunity to work on large-scale products and contribute to their development
  • A flexible work environment built on autonomy, ownership, and trust, without micromanagement
  • The option to work fully remotely or from a modern office
  • Medical insurance coverage in countries where the company operates
  • An annual $2,000 benefits allowance after the probation period, which can be used for health insurance upgrades, language learning and sports activities
  • Partial reimbursement for professional training, courses, and participation in industry conferences
  • Access to a corporate digital library
  • Company-funded weekly online sessions with a psychologist
  • Relocation opportunities to countries where the company has offices, with relocation assistance available after the probation period, subject to approval

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