AI Engineer – Hybrid in Melbourne

We are seeking an AI Engineer to join our team and help build intelligent systems that power the next generation of industrial operations.

At Syncrowin, you will work at the intersection of machine learning, industrial systems, and real-world decision-making.

You will develop, train, evaluate, and deploy AI models that operate across complex environments, including energy, manufacturing, mining, and critical infrastructure.

This role is suited for someone who enjoys solving technically challenging problems, experimenting with new approaches, and turning research into reliable, production-ready systems.

We are looking for builders who take ownership, move fast, and care deeply about the performance and impact of what they create.

What you will do

• Design, develop, train, and deploy machine learning and deep learning models for industrial applications
• Build forecasting, anomaly detection, optimisation, and decision intelligence solutions
• Work with large-scale, multimodal datasets including time-series, sensor, operational, and image data
• Develop robust data pipelines, feature engineering workflows, and model evaluation frameworks
• Contribute to scalable ML infrastructure and production deployment pipelines
• Improve model accuracy, inference efficiency, reliability, and performance
• Collaborate with software engineers, data scientists, and domain experts to translate industrial challenges into AI solutions
• Research and experiment with emerging AI architectures and techniques
• What you will need
• 4- 7 years of relevant experience in machine learning, AI engineering, or applied data science
• Strong proficiency in Python and machine learning frameworks such as Py Torch or Tensor Flow
• Solid understanding of machine learning algorithms, deep learning, statistics, and optimisation
• Experience working with large-scale datasets and building end-to-end ML pipelines
• Strong software engineering fundamentals, including version control, testing, and maintainable code
• Experience deploying and monitoring models in production environments
• Familiarity with SQL, cloud infrastructure, and containerised applications
• Strong analytical thinking and independent problem-solving skills
• Ability to work effectively in a fast-moving, multidisciplinary engineering team
• Good to have
• Experience with multimodal machine learning
• Exposure to foundation models, transformers, computer vision, or reinforcement learning
• Familiarity with industrial systems, Io T, SCADA, or operational technology data
• Experience with Azure, MLOps, distributed training, or model serving
• Advanced degree in AI, Computer Science, Mathematics, Engineering, or a related discipline
• Build AI systems that directly influence real-world industrial operations
• Work on technically challenging problems involving energy, manufacturing, mining, and critical infrastructure
• Help shape the architecture and capabilities of an emerging industrial AI platform
• Take meaningful ownership of products and systems from development to deployment
• Work in a high-growth, globally ambitious company with a deeply technical team

What we offer

• Competitive compensation
• Opportunity to participate in an Employee Stock Option Plan (ESOP)
• Work closely with founders and experienced AI engineers
• Small, sharp team with no unnecessary layers or bureaucracy
• Exposure to advanced applied AI research and real-world industrial deployments
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