Machine Learning Engineer

4 days ago


Melbourne, Victoria, Australia Mind Recruitment Group Ltd Full time
Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team at Mind Recruitment Group Ltd. As a Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining machine learning models that address real-world challenges.

Key Responsibilities:
  • Model Development: Design, build, and evaluate machine learning models, including supervised, unsupervised, and reinforcement learning approaches.
  • Data Processing: Clean, preprocess, and transform large datasets to make them suitable for model training and prediction.
  • Algorithm Optimization: Implement and optimize machine learning algorithms to meet performance and accuracy goals.
  • Model Deployment: Develop robust systems for deploying machine learning models into production environments, ensuring scalability and reliability.
  • Collaboration: Work with data scientists to convert prototypes into production-ready models, and collaborate with software engineers to integrate machine learning models into existing systems.
  • Model Monitoring: Monitor and maintain models after deployment, ensuring they remain accurate and adapt to changing data distributions (model drift detection).
  • Continuous Improvement: Stay updated on new machine learning techniques, tools, and best practices to ensure cutting-edge solutions.
  • Documentation: Document processes, models, and tools to maintain high levels of reproducibility and collaboration.
Requirements:
  • Proven experience in developing, deploying, and maintaining machine learning models in production environments.
  • Experience working with a range of machine learning techniques (regression, classification, clustering, neural networks, etc.).
  • Familiarity with deep learning frameworks (e.g., Tensor Flow, Py Torch) and traditional machine learning libraries (e.g., Scikit-learn, XGBoost).
  • Strong programming skills in Python, R, or another relevant language.
  • Experience with data manipulation and analysis tools like Pandas, Num Py, or similar.
  • Proficiency with machine learning frameworks and libraries (Tensor Flow, Py Torch, Scikit-learn, etc.).
  • Experience with cloud platforms such as AWS, GCP, or Azure for model training and deployment.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.
  • Understanding of database systems and experience with SQL/No SQL databases.
  • Familiarity with big data tools such as Hadoop, Spark, or Kafka is a plus.
What We Offer:
  • A competitive salary and benefits package.
  • The opportunity to work with a leading SaaS organisation.
  • A dynamic and supportive team environment.
  • Professional development and growth opportunities.


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