Cloud-Aware AI Engineer

7 days ago

Melbourne, Victoria, Australia Jobleads-Au Full time

**About Us:**

At Leonardo.Ai, we believe in empowering individuals to achieve their full potential through the use of cutting-edge AI technology. Our mission is to create innovative solutions that make a positive impact on people's lives.

**Job Summary:**

We are seeking a highly skilled Senior Machine Learning Engineer to join our global AI team. As a Senior Machine Learning Engineer, you will be responsible for designing, building, and maintaining robust MLOps pipelines that support the end-to-end lifecycle of machine learning models.

**Key Responsibilities:**

  • Design and develop MLOps pipelines to support the entire machine learning lifecycle, from data preparation to deployment and monitoring.
  • Develop reusable tools and modules to streamline experimentation, model deployment, and versioning.
  • Collaborate with cross-functional teams to integrate ComfyUI nodes and other workflow tools into the MLOps ecosystem.
  • Work closely with DevOps teams to implement and manage cloud infrastructure using AWS services and infrastructure-as-code tools.
  • Implement CI/CD pipelines tailored for machine learning workflows to ensure smooth transitions from research to production.
  • Optimise resource allocation and manage costs associated with cloud-based machine learning workloads.

**Requirements:**

To be successful in this role, you should have:

  • Strong experience building and managing MLOps pipelines using frameworks like Kubeflow, MLflow, or similar.
  • Proficiency in Python, focusing on writing high-performance, maintainable code.
  • 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.

**Our Culture:**

We celebrate diversity and inclusivity, and we strive to create an environment where everyone feels valued and empowered. We believe in flexible work arrangements, continuous learning opportunities, and supporting our employees' personal and professional growth.

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