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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