AI/ML Engineer — Build & Deploy Scalable Models

Infosys

Melbourne

On-site

AUD 120,000 - 180,000

Full time

43 hours ago
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Job summary

Infosys Consulting in Melbourne seeks an AI/ML Engineer to design, develop, and deploy ML models addressing business challenges. You will work with cross-functional teams, preprocess data, and evaluate models to ensure accuracy and reliability.

The role requires strong Python or R skills, experience with ML frameworks, and a background in CS/DS/ML. Opportunities include staying current with AI advances and collaborating across a global consultancy.

Qualifications

  • Bachelor's or Master's degree in CS, Data Science, Machine Learning, or related field.
  • Proven experience as an AI/ML Engineer or similar role.
  • Strong programming skills in Python, R.
  • Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn.

Responsibilities

  • Design, develop, and implement machine learning models and algorithms to solve business problems.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Deploy and maintain machine learning models in production environments.
  • Continuously monitor and improve model performance through iterative testing and optimization.
  • Document processes, models, and experiments to ensure reproducibility.

Skills

Machine learning
Python
R programming
ML engineering
PyTorch
TensorFlow
scikit-learn
Pandas
NumPy
SQL
Big data

Education

Bachelor's or Master's in CS/DS/ML or related field

Tools

Docker
Kubernetes
Git
CI/CD pipelines

Job description

Infosys Consulting in Melbourne seeks an AI/ML Engineer to design, develop, and deploy ML models addressing business challenges. You will work with cross-functional teams, preprocess data, and evaluate models to ensure accuracy and reliability.

The role requires strong Python or R skills, experience with ML frameworks, and a background in CS/DS/ML. Opportunities include staying current with AI advances and collaborating across a global consultancy.

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