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Senior Machine Learning Engineer - Remote

Posted 15 weeks ago
Software Development
Full Time
Australia

Overview

Leonardo.Ai seeks a Senior Machine Learning Engineer to join our expanding global AI team.

In Short

  • Design, build, and maintain robust MLOps pipelines.
  • Develop reusable tools for efficient experimentation and model deployment.
  • Collaborate with DevOps teams to manage cloud infrastructure.
  • Implement CI/CD pipelines for machine learning workflows.
  • Design and maintain scalable data pipelines.
  • Deploy machine learning models to production.
  • Work closely with cross-functional teams.
  • Identify opportunities to streamline workflows.
  • Manage deadlines and deliverables independently.
  • Continuously learn emerging tools in the MLOps landscape.

Requirements

  • Experience with MLOps pipelines using Kubeflow or MLflow.
  • Proficiency in Python.
  • Hands-on experience with AWS services.
  • Understanding of Docker and Kubernetes.
  • Experience with SQL and NoSQL databases.
  • Familiarity with API integrations and security best practices.
  • Knowledge of monitoring tools like Prometheus or Grafana.
  • Strong grasp of DevOps principles.
  • Experience with distributed computing frameworks.
  • Familiarity with performance optimisation techniques.

Benefits

  • Impact the future of AI.
  • Reward package including equity.
  • Inclusive parental leave policy with 18 weeks paid leave.
  • Annual Vibe & Thrive allowance for wellbeing and social connection.
  • Flexible leave options and remote working abroad.
  • Support for professional development.
  • Engaging company events.
  • 20 days annual leave.
Leonardo.Ai logo

Leonardo.Ai

Leonardo.Ai is an innovative Australian tech startup dedicated to revolutionizing creativity through its advanced AI-powered platform. Since its launch nearly two years ago, the company has rapidly expanded its user base to over 20 million globally. With a strong focus on customer education and engagement, Leonardo.Ai empowers users by providing tailored training programs and resources, ensuring they can fully leverage the platform's capabilities. The company fosters an inclusive culture, prioritizes employee growth, and offers a flexible work environment, making it a dynamic place for professionals passionate about shaping the future of AI.

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