We're looking for a Machine Learning Engineer to design, build, deploy, and maintain machine learning models. This role involves bridging data science and software engineering to deliver scalable, real-world ML solutions. The ideal candidate will have 2-5 years of experience in machine learning, data engineering, or software engineering.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
🤖 We’re Hiring: Machine Learning Engineer
📍 Location: Remote (Australia)
đź•’ Employment Type: Full-Time
đź’Ľ Level: Mid-Level
We’re looking for a Machine Learning Engineer to design, build, deploy, and maintain machine learning models in production environments. This role is ideal for someone who enjoys bridging data science and software engineering to deliver scalable, real-world ML solutions.
🎯 Key Responsibilities- Design, build, and deploy machine learning models into production
- Develop and maintain ML pipelines, workflows, and model monitoring
- Collaborate with data scientists to productionize models
- Work closely with software and data engineers on system integration
- Optimize model performance, scalability, and reliability
- Implement model versioning, testing, and validation
- Monitor model accuracy, drift, and system health
- Document ML systems, workflows, and best practices
- Stay current with machine learning tools and industry trends
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 2–5 years of experience in machine learning, data engineering, or software engineering
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
- Solid understanding of machine learning algorithms and model evaluation
- Experience deploying ML models to production environments
- Familiarity with data pipelines, APIs, and cloud platforms
- Experience with SQL and large-scale datasets
- Understanding of MLOps concepts (CI/CD, monitoring, versioning)
- Strong problem-solving and communication skills
- Ability to work independently in a remote-first environment
- Based in Australia with legal right to work full-time
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Fully remote role within Australia
- Opportunity to build and scale real-world ML systems
- Clear career path toward Senior ML Engineer or AI Engineer
- Access to modern ML platforms, tools, and datasets
- Continuous learning, experimentation, and innovation
- Supportive, collaborative, engineering-driven culture
- Competitive salary and benefits package
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