Mid-Level Machine Learning Engineer

Remote
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AI Summary

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
Design and deploy machine learning models
Collaborate with data scientists and software engineers
Optimize model performance and scalability
Key Responsibilities
Design, build, and deploy machine learning models
Develop and maintain ML pipelines and workflows
Work closely with software and data engineers
Technical Skills Required
Python Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) SQL Large-scale datasets
Benefits & Perks
Fully remote role
Opportunity to build and scale real-world ML systems
Competitive salary and benefits package
Nice to Have
Experience with data pipelines and cloud platforms

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
âś… Requirements
  • 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
🌟 What We Offer
  • 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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