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Machine Learning Operations Specialist

3 weeks ago

Sydney, New South Wales, Australia beBeeEngineer Full time
Job Description

Our organization is seeking a highly skilled Machine Learning Platform Engineer to join our technology team. This individual will be instrumental in developing, deploying, and managing end-to-end machine learning workflows in a scalable cloud environment.

This role is ideal for professionals who are passionate about ML operations (MLOps), cloud infrastructure, and delivering secure and reliable AI/ML solutions at scale.

Key Responsibilities include:

  • Designing, developing, and managing ML workflows using Amazon Sage Maker, AWS Glue, and Apache Airflow.
  • Deploying and monitoring scalable applications and ML models on Amazon EC2 and AWS Lambda.
  • Automating infrastructure provisioning and resource management using AWS Cloud Formation.
  • Containerizing applications using Docker and building robust CI/CD pipelines with Git Hub Actions.
Required Skills and Qualifications

4–7+ years of experience in MLOps, Cloud Engineering, or Machine Learning Engineering.

Strong hands-on experience with AWS services, particularly Sage Maker, Glue, EC2, Lambda, and Cloud Formation.

Proficiency in Python for automation, ML workflows, and infrastructure scripting.

Solid experience with Apache Airflow for workflow orchestration and data pipeline management.

Experience in Dockerizing applications and working with containerized environments.

Knowledge of CI/CD pipelines using Git Hub Actions or similar tools.

Understanding of machine learning lifecycle, model deployment strategies, and production monitoring.

Familiarity with security best practices, especially in a regulated industry like financial services.

Strong collaboration and communication skills, with the ability to work effectively across engineering, data, and business teams.

What We Offer

Opportunity to work on advanced ML infrastructure and cloud-native solutions.

Access to large-scale real-world ML problems and enterprise-grade tooling.

Work with a collaborative and innovative team at the forefront of cloud and AI technologies.

Access to ongoing learning, certifications, and development resources through our global programs.

Equal opportunities employer, fostering an inclusive culture promoting equality, diversity and respect for all employees.