AI/ML Associate

About the role

This is an early-career opportunity for a motivated graduate or junior professional to grow in artificial intelligence, machine learning, data analytics, and generative AI. In this position, you will partner with experienced engineers and data specialists to help design, build, and roll out intelligent solutions that address practical business problems.

The role also provides hands-on exposure to machine learning processes, data engineering, predictive analytics, and newer AI tools while contributing to projects at enterprise scale.

Responsibilities

• Clean, prepare, and verify datasets for machine learning use cases.
• Support the creation, training, and assessment of machine learning models.
• Carry out statistical analysis and build visualizations that help inform business decisions.
• Help with deployment and ongoing monitoring of AI models.
• Assist with data gathering, feature creation, and model testing activities.
• Work closely with engineering and product teams on AI-driven initiatives.
• Record methods, experiments, and model performance results.
• Contribute to AI-based automation and predictive analytics solutions.
• Support projects involving generative AI and large language models where relevant.
• Keep up to date with current industry developments and emerging AI technologies.

Requirements

• A bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a similar field.
• Between 0 and 1 year of relevant experience, including internships, academic work, capstone projects, or research.
• Solid foundation in Python programming basics.
• Working knowledge of machine learning principles and model evaluation methods.
• Familiarity with SQL and relational database concepts.
• Understanding of data structures, algorithms, and statistical analysis.
• Good analytical thinking and problem-solving ability.
• Strong communication skills and a collaborative mindset.
• Ability to pick up new technologies quickly.

Preferred skills

Experience with frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn is an advantage. Exposure to cloud environments like AWS, Azure, or Google Cloud Platform is also helpful, along with familiarity with Power BI, Tableau, or similar visualization tools. Knowledge of MLOps, CI/CD pipelines, generative AI, prompt engineering, LLM frameworks, Git, GitHub, and team-based development workflows will strengthen your profile.

Benefits

• Graduate development and mentorship support.
• Flexible working options, including remote or hybrid arrangements.
• Annual budget for learning and development.
• Clear growth opportunities in AI, data science, and machine learning.
• Employee wellness and support programs.
• Paid certifications and training assistance.
• Performance-linked bonuses and salary reviews.

Additional information

Location: Remote, Australia. Employment type: Full-time, permanent. Experience required: 0–1 year.