About Syncrowin

Syncrowin is a high-growth industrial AI company backed by leading organisations globally. We are building an advanced industrial intelligence system to transform how asset-intensive industries operate. Our mission is to fundamentally improve efficiency, reliability, and sustainability across heavy industries. By combining AI with real-world operational data, we enable organisations to solve complex, high-impact problems at scale.

About the Role

We are seeking a Senior AI Engineer to join our team. This role is focused on building and deploying AI-driven solutions for real-world industrial challenges. You will work on high-impact problems where your models directly influence operational decisions in live environments. This role is suited for someone who thrives on applying AI beyond theory and delivering systems that operate reliably in complex, dynamic settings. This role is for someone who enjoys taking ownership, moving fast, and building things that actually get used.

Key Responsibilities

• Develop and deploy machine learning solutions for industrial and energy use cases
• Work with large-scale operational and time-series data to generate actionable insights
• Collaborate with cross-functional teams to translate real-world challenges into AI-driven solutions
• Contribute to the design of scalable, production-ready systems
• Continuously improve model performance through monitoring, evaluation, and iteration

Required Experience

• 7+ years of relevant industry experience building AI/ML solutions
• Strong background in machine learning and data-driven problem solving
• Proficiency in Python and SQL
• Experience working with large datasets, particularly time-series or operational data
• Experience deploying machine learning solutions into production environments
• Strong software engineering fundamentals
• Familiarity with cloud environments (Azure preferred)
• Ability to work independently and collaborate effectively across teams
• Strong communication and documentation skills
• Innovative spirit with a solution oriented approach

Preferred Experience

• Experience in industrial domains such as energy and manufacturing
• PhD in a relevant field such as Machine Learning, Artificial Intelligence, Applied Mathematics, or a related discipline
• Exposure to real-world operational data (e.g., IoT, sensor, or system data)
• Understanding of the end-to-end ML/AI lifecycle and best practices

Why Join Syncrowin

• Work on high-impact, real-world problems in manufacturing and energy systems
• Be part of a high-growth company backed by leading organisations in Australia
• Opportunity to shape the future of industrial AI and intelligent operations
• High ownership, fast-paced environment, and direct exposure to industry-scale challenges

Location

Melbourne · Sydney · San Francisco. On-site presence is required, with occasional travel to industrial sites.

Perks and Benefits

• Competitive compensation
• Opportunity to participate in an Employee Stock Option Plan (ESOP)
• Work closely with founders and a highly driven, technical team
• Small, sharp team with no layers or bureaucracy
• Exposure to cutting-edge AI applications in industrial environments