Machine Learning Engineer

Worldteam - The world’s best tech teams: Available here. Our mission is clear - to be Australia’s largest supplier of tech team talent that is both onshore and offshore. By 2030, Australia’s tech workforce will need to be 1,000,000 strong - it’s sitting at 600,000 today. This is your chance to build on our decade of success and credibility. Join us and help shape our future.

About the Role

As a Machine Learning Engineer at Worldteam, you will design and deploy ML systems that transform our products and services. You'll bridge the gap between research and production, creating scalable ML solutions that directly impact our core business capabilities.

What You'll Do

• Model Deployment: Implement ML models in production environments with focus on reliability and performance
• ML Pipeline Development: Design end-to-end ML pipelines for training, validation, and deployment
• Model Optimization: Tune models for speed, memory usage, and accuracy in production settings
• ML Infrastructure: Create and maintain infrastructure for model training, serving, and monitoring
• Model Versioning: Implement systems for model experiment tracking, versioning, and reproducibility
• Performance Monitoring: Develop tools to monitor model performance and trigger retraining when needed
• Scalability Solutions: Design architecture for handling large-scale ML workloads efficiently
• API Development: Create robust APIs and interfaces for ML model integration with other systems

Our Ideal Team Mate

• Demonstrates strong software engineering practices and experience with containerization (Docker, Kubernetes)
• Is proficient in Python and ML frameworks like TensorFlow, PyTorch, or scikit-learn
• Can implement MLOps best practices including CI/CD for machine learning systems
• Possesses knowledge of distributed computing for large-scale model training
• Has experience deploying and maintaining ML models in production environments
• Excellent English communication skills for technical discussions with clients

Qualifications

• Demonstrated experience in machine learning engineering with a portfolio of projects
• Strong foundational knowledge of AI frameworks and machine learning models
• Proficiency in Python and related ML libraries
• Experience with ML deployment and production environments
• Excellent communication skills in English for client interactions
• 3+ years of experience as a ML Engineer

Preferred Qualifications

• Experience working with Australian clients or in similar cultural contexts
• Certifications in AI and machine learning from recognized institutions
• Experience presenting technical concepts to non-technical stakeholders

Life at Worldteam

• Fuel Your Growth: Benefit from personal development funding and a leadership team dedicated to your career growth.
• Be Healthy: Engage with our Wellbeing Policy focused on holistic health.
• Enrich Your Life: Enjoy the flexibility to work from anywhere in the world for up to two weeks per year.
• Be Comfortable: Experience a casual work environment with "Casual Friday" every day.
• Have Fun: Participate in team outings, weekly lunches, and various team events.

Make an Impact

Join the high-performance culture at Worldteam where your work directly contributes to our mission and helps shape the future of technology services in Australia.

Worldteam is dedicated to fostering a diverse and inclusive workforce. We celebrate diversity and are committed to creating an inclusive environment for all employees, free from discrimination and harassment.

If you’re ready for this exciting challenge and to be a key part of our engineering team, we’re eager to hear from you! So, we’ve crafted a test about the things that are important for this position. Taking this will help us both discover our potential fit.

You can do it only once. You’ll get quick feedback in seconds. Plus, a real human will be in touch shortly. Test link: https://hire.toggl.com/c/5069r/3e0e3

Best regards,

Sam and everyone here at Worldteam!