Senior Machine Learning Operations Engineer

Job title: Senior Machine Learning Operations Engineer

Company: Randstad


Job description: About the companyMy client is a leading global multinational investment bank and financial services company. It is headquartered and listed in the Australian stock exchange and employs nearly 15000 staff in over 20 countries is the world’s largest asset manager in infrastructure and Australia’s top ranked mergers and acquisitions adviser with almost half a trillion dollars in assets under management.About the roleBecause of their immense growth in their Machine Learning and Data Science portfolio, an exciting opportunity has come up in one of their offices in Sydney. You will be joining their elite team and playing a key role in designing, building and operating Machine Learning solutions, working closely with various stakeholders (business and technical) to help execute their data science and machine learning strategy as they embark this journey in machine learning.Skill SetsYou need to have the following skill sets to excel in this role:

• Strong previous experience in Data (Data Engineering, Data Science or Analysis).
• 5+ years experience as a data engineer in an agile devops environment using an object-oriented development language (Java, Python)
• Able to implement MLOps best practices including CI/CD pipelines
• Demonstrated experience in deploying machine learning models in the production environment
• Experience working with real time and batch machine learning models.
• Demonstrated proficiency using cloud technologies and integrating with ML services including GCP Vertex AI, DataRobot or AWS SageMaker in large and complex organisations and experience with SQL and Python environments.
• Strong collaboration and communication skills

Responsibilities

• Involved in the deployment, productionisation and maintenance of Machine learning pipelines
• Work closely with various stakeholders of various business units to service their requirements.
• Involved in building the platform and pipeline for the data scientists to develop their models.
• End-to-end ownership for the entire lifecycle of the models
• Involved in checking the drifting of the model from blueprint to deployment.
• Work closely with data engineers and data scientists.

It is an urgent position and my client is interviewing candidates at the moment. It is an exceptional opportunity for someone who has MLOps experience and has a data engineering or science background. Only Australian Permanent Residents and Citizens required for this role.For more information on the role, please either apply or contact Nathan Sabherwal on 0430880196. Randstad is a specialist recruitment agency specializing in IT, Accounting and Corporate Services, Engineering and Sales & Marketing. We can always help you in finding the right permanent or contract role.Urgent opportunity, excellent project, excellent salary, great career path, interviews happening nowAt Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.SkillsMLOps platform engineer python, AWS sagemaker, GCP vertex AIEducationPrimary School/Junior High

Expected salary: $250000 per year

Location: Sydney, NSW

Job date: Sun, 08 Jun 2025 04:06:54 GMT

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