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AI ML Engineer - Job Opportunity at Infosys Singapore & Australia

Melbourne, Australia
Full-time
Mid-level
Posted: May 8, 2025
On-site
AUD 130,000 - 180,000 per year based on Melbourne market rates for mid-senior ML engineers

Benefits

Competitive salary package for the Australian market
Professional development opportunities in a global consultancy
Work on cutting-edge AI/ML projects
International exposure across APAC region
Career advancement within a large organization
Dynamic consulting environment

Key Responsibilities

Lead the design and implementation of enterprise-scale machine learning solutions
Drive technical decision-making for AI/ML architecture and frameworks
Collaborate with global teams on cross-functional projects
Establish ML model deployment and monitoring standards
Guide data preprocessing and feature engineering strategies
Ensure production readiness of AI solutions

Requirements

Education

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field

Experience

Proven experience as an AI/ML Engineer

Required Skills

Python R TensorFlow PyTorch scikit-learn Pandas NumPy SQL AWS/Azure/GCP Docker Kubernetes Natural Language Processing Computer Vision Hadoop Spark Kafka Git CI/CD pipelines A/B testing
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Sauge AI Market Intelligence

Industry Trends

Enterprise AI adoption is accelerating in APAC, with Australia leading in ML implementation across financial services and telecommunications sectors Shift towards MLOps and automated ML pipelines is creating demand for engineers who can bridge development and operations Growing emphasis on explainable AI and ethical ML practices in regulated industries

Role Significance

Typically part of a 5-8 person ML team within larger technology organization
Mid to senior technical position with significant impact on product development and technical strategy

Key Projects

Enterprise-scale ML model deployment Automated ML pipeline development Real-time prediction systems Computer vision and NLP solutions for business process automation

Success Factors

Strong foundation in production ML deployment Experience with large-scale data processing Ability to translate business requirements into technical solutions Understanding of ML model monitoring and maintenance

Market Demand

High demand with significant growth projected. Current market shows 3:1 demand to supply ratio for experienced ML engineers in Australia

Important Skills

Critical Skills

Production ML deployment experience is essential for delivering scalable solutions Cloud platform expertise (AWS/Azure/GCP) is crucial for enterprise implementations Strong Python and ML framework knowledge is fundamental for development

Beneficial Skills

Knowledge of distributed computing frameworks enhances ability to handle large-scale data Understanding of DevOps practices supports efficient deployment cycles Business domain knowledge aids in solution design

Unique Aspects

Opportunity to work with diverse global clients
Exposure to enterprise-scale ML implementations
Focus on consulting-led ML solutions
Strong learning and development infrastructure

Career Growth

2-3 years in role before advancement, depending on project impact and leadership development

Potential Next Roles

Lead ML Engineer ML Architect Technical Team Lead AI Solutions Architect

Company Overview

Infosys Singapore & Australia

Infosys is a global IT consulting leader with strong presence in APAC region and significant investments in AI/ML capabilities

Top-tier global IT services provider with established ML practice and growing digital transformation focus
Strategic APAC hub with significant Australian client base and growing ML implementation projects
Matrix organization with global delivery model, emphasizing consulting expertise and technical excellence
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Job Listings Data

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Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.