Machine Learning Engineer

📍 Location: Remote (Australia)

🕒 Employment Type: Full-Time

💼 Level: Entry to Mid-Level

We’re looking for a driven Machine Learning Engineer to design, build, and deploy ML models and production-ready pipelines that power intelligent products. This role is ideal for engineers who enjoy bridging data science and software engineering in a collaborative, remote-first environment.

• Develop, train, and deploy machine learning models into production.
• Build scalable ML pipelines and data workflows.
• Collaborate with data scientists, data engineers, and product teams.
• Optimize model performance, reliability, and monitoring.
• Implement feature engineering and model evaluation frameworks.

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• Maintain documentation and ML best practices.
• Stay current with ML techniques and emerging technologies.

• 1–3 years of experience in machine learning, data science, or software engineering.
• Strong proficiency in Python and experience with ML libraries (scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistics, algorithms, and data structures.
• Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
• Familiarity with MLOps tools (Docker, MLflow, Airflow) is a plus.
• Experience with SQL and data pipelines is a plus.

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• Strong problem-solving and communication skills.
• Comfortable working independently in a remote environment.
• Fluent in English.
• Based in Australia with legal right to work full-time.

• Fully remote role within Australia.
• Opportunity to deploy real-world ML solutions.
• Supportive remote-first culture.
• Learning, mentorship, and career growth.
• Competitive compensation and benefits.