Top Machine Learning Jobs in Melbourne

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

As a Senior Machine Learning Engineer, you will develop MLOps pipelines, manage cloud infrastructure, optimize model deployment, and collaborate across teams to enhance AI products.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

Design and implement AI/ML solutions using Snowflake, collaborating with clients to expand their Data Cloud capabilities and manage technical challenges effectively.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

Lead the design and maintenance of ML infrastructure and automation solutions while collaborating with data scientists and mentoring junior engineers.

As a Senior Machine Learning Engineer, you will build and optimize MLOps pipelines, integrate cloud services, automate data workflows, and deploy machine learning models, collaborating with diverse teams to enhance AI product development.

Assist in pioneering research in AI and ML at Sahara AI, focusing on innovative model development and collaboration with tech leaders.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.

The Solutions Architect will design and deploy AI/ML solutions using Snowflake, collaborating with customers and guiding teams in data science lifecycle and MLOps best practices.