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Senior Machine Learning Engineer

Posted about 2 months agoViewed

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💎 Seniority level: Senior

📍 Location: Australia

🔍 Industry: AI

🏢 Company: Leonardo.Ai

🗣️ Languages: English

🪄 Skills: AWSDockerPythonSQLETLKubeflowKubernetesMachine LearningMLFlowAPI testingData engineeringREST APINosqlCI/CDTerraform

Requirements:
  • Strong experience building and managing MLOps pipelines
  • Proficiency in Python
  • Hands-on experience with AWS services (e.g., S3, EC2, SageMaker), and infrastructure-as-code tools like Terraform
  • Deep understanding of Docker and container orchestration tools like Kubernetes
  • Experience designing scalable ETL pipelines and working with SQL and NoSQL databases
  • Familiarity with API integrations, network configurations (e.g., proxies, SSH, NAT, VPN), and security best practices
  • Knowledge of monitoring tools such as Prometheus, Grafana, or CloudWatch
Responsibilities:
  • Design, build, and maintain robust MLOps pipelines
  • Develop reusable tools and modules
  • Integrate ComfyUI nodes and other workflow tools
  • Collaborate with DevOps teams to implement and manage cloud infrastructure, focusing on AWS
  • Implement CI/CD pipelines tailored for machine learning workflows
  • Design and maintain scalable data pipelines
  • Automate data acquisition and preprocessing workflows
  • Manage data integrity and ensure compliance with privacy and security standards
  • Deploy machine learning models to production
  • Implement monitoring solutions
  • Continuously optimise inference performance
  • Work closely with cross-functional teams
  • Proactively identify opportunities to streamline and automate workflows
  • Operate independently to manage deadlines, deliverables, and high-quality solutions in a dynamic environment
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