Team Leader - Computer Vision

Melbourne, VIC, AU, 3000

About us

 

At CitiPower and Powercor and United Energy, we’re proud to deliver electricity to 2 million Victorian customers every day through our network of poles and wires. But more than that, we’re here to power communities, support local businesses and keep critical services running smoothly, we’re essential to them all – and none of this happens without our people. As Victorians electrify everything from homes to transport, we’re focused on ensuring our networks are ready to meet that demand. If you want to be part of something essential, be essential with us.

 

About the role

 

This role leads the research, development, deployment, and continuous enhancement of advanced Computer Vision, Perception AI, and Spatial Intelligence capabilities to improve operational efficiency, asset intelligence, safety, and automation across the electrical distribution network. Working with high-dimensional multi-modal data—including imagery, video, spatial datasets, and selected LiDAR/3D applications—the role delivers core perception technologies that enable a variety of digital and hardware initiatives. It is also responsible for establishing robust MLOps practices to ensure scalable model development, reliable deployment, ongoing monitoring, and continuous improvement. The role works collaboratively with other specialised teams across the organisation to ensure alignment, clear boundaries, and efficient integration of related capabilities.

 

Key responsibilities

 

  • Lead, coach, and develop a specialised team of computer vision, perception AI, and spatial AI engineers to deliver high-quality outcomes.
  • Create and maintain the Perception & Spatial AI Capability Roadmap, ensuring alignment with organisational priorities and complementary teams.
  • Own the full lifecycle of vision and perception models, including data management, training, validation, deployment, monitoring, and continuous improvement.
  • Implement scalable MLOps pipelines for data ingestion, model versioning, CI/CD for ML, retraining, and operational monitoring.
  • Lead the design and development of advanced computer vision and perception AI models for detection, segmentation, anomaly identification, change detection, and scene understanding.
  • Build scalable perception algorithms using imagery, video, 3D spatial data, and multi-sensor inputs to support operational decision-making.
  • Collaborate with the Generative AI (agentic applications) team on multi-modal solutions where perception outputs integrate with LLMs, agents, or decision systems.
  • Employ generative AI techniques—such as synthetic data, diffusion models, or multi-modal fusion—to strengthen perception model performance.

 

For more information on the role’s responsibilities, please click here to download the position description.

 

What you’ll need from day one

 

  • 7+ years in AI/ML roles with strong computer vision or perception experience.
  • Deep expertise in computer vision and perception AI.
  • Prior leadership of AI/ML teams is strongly preferred.
  • Experience in utilities, energy, infrastructure, robotics, or other asset-intensive industries is advantageous.
  • Proficiency in Python, PyTorch/TensorFlow, and GPU-accelerated computing.
  • Knowledge of imagery, video, spatial modelling, and selective LiDAR use cases.
  • Tertiary qualification in computer science, ML/AI, engineering, robotics, or a related field.

 

If you believe you have what it takes but don’t meet every requirement—or if you’d like to discuss flexible working arrangements to meet the key responsibilities —we encourage you to get in touch.

 

Key Benefits

 

We’re proud to offer an inclusive, supportive workplace where everyone feels safe, valued, and empowered to grow. Some of our benefits include hybrid work options, purchased leave, 15 weeks of gender neutral primary parental leave, health and wellbeing subsidiary, career development and planning opportunities, and exclusive discounts. Visit our company website to learn more.

 

Diversity, Equity & Inclusion to support a fair workplace for all

 

We are committed to building a safe, inclusive, and supportive workplace where people of all genders, ethnicities, sexual orientations, abilities and ages are valued for who they are and empowered to do their best. Through our Diversity, Equity & Inclusion Strategy (DEI), Reconciliation Action Plans and initiatives like Women in Power and Sparkle, our LGBTQIA+ allies network, we’re working to create equal opportunities for all. We are proud to be a WORK180 Endorsed Employer for Women. Explore our partnership with Work180.

 

We welcome applicants from all backgrounds and experiences, and strongly encourage First Peoples, women, people from the LGBTIQA community, culturally and racially marginalised people and people with disabilities to apply. We recognise how people from marginalised groups can face extra barriers and self-select out of recruitment processes.  With this in mind, we’re committed to making reasonable adjustments to ensure a positive, barrier-free recruitment process.

 

What’s next

 

Submit your application via our careers’ website by 26 January 2026. To make a confidential reasonable adjustment query, please contact Luke Castro from the Talent team at careers@powercor.com.au

 

Beon, CitiPower Powercor and United Energy recognise Australia’s Aboriginal and Torres Strait Islander Peoples as the First Peoples and Traditional Custodians of the lands on which we work. We pay our respects to Elders past and present and acknowledge their ancient and continuing connection to Country.

Aboriginal FlagTorres Strait Islander Flag

We are committed to creating a workplace where everyone feels valued, respected and supported to succeed. By making sure our workplace is physically and mentally safe, so that our people can be their authentic selves, share their unique perspectives and can thrive. 

Inclusion and Diversity Flag


Job Segment: Computer Science, Data Management, Manager, Equity, Engineer, Data, Technology, Management, Finance, Engineering