Computer Vision Engineer

2 weeks ago

Sydney, New South Wales, Australia Unleash live Full time $120,000 - $180,000 per year

About Us

Unleash live is a world-leading AI video analytics platform revolutionizing the way organizations in infrastructure, renewables, cities, and transport harness insights from visual data. Our cutting-edge AI technology transforms any video feed into real-time, actionable insights, empowering customers to make smarter, faster decisions.

Unleash live is expanding, with a focus on the Australian and US markets. Our team is globally distributed across Sydney, Poland, and in the US, creating a collaborative and culturally diverse environment. If you're passionate about innovation and thrive in a fast-paced, dynamic setting, Unleash live offers unparalleled access to career growth, multi-functional experience, and direct interaction with senior leadership.

With the high volume and velocity data generated by constantly running AI driven Video Analytics, Unleash live creates vast amounts of opportunities to uncover hidden insights from data otherwise not easily seen. We pride ourselves in having a strong data pipeline supporting our platform to enable our clients to gain extremely valuable insights that is only possible through analyzing data produced by our Video Analytics Platform.

What You'll be doing

We are looking for an enthusiastic and talented person to join our close-knit, friendly AI team who wants to apply computer vision to real world challenges. As a
Computer Vision Engineer
at Unleash live you will be joining the AI team and have the opportunity to build enterprise grade models to solve and improve industrial workflow processes.

You are someone who has a broad knowledge of computer vision, machine learning and software development techniques to help design, implement and maintain a cutting-edge AI platform.

You will be joining our growing team in tackling complex problems, helping shape how we approach Computer Vision, Robotics and Automation at scale as Unleash live continues to grow.

You will

  • Assist in the development and deployment of an automated Computer Vision models and AI data analytics infrastructure
  • End to end hands-on ownership of computer vision features and various projects
  • Deep knowledge on conventional and modern computer vision algorithms including:
  • Image processing
  • Stereo matching, registration, alignment, and image stitching
  • 2D to 3D transformation and bird eye view analysis
  • Single image depth measurement
  • Computational Geometry
  • Running tests, performing statistical analysis, and interpreting test results
  • Documenting machine learning processes
  • Working with other groups while maintaining clear differentiation and value in our specific offerings, and leading the path of value driven AI features that are innovative and deployable to real customers
  • Stay current and up-to-date around key research areas in computer vision, by constant paper reading and testing new models

You Have

  • Experience in applying AI to practical and comprehensive technology solutions
  • Proven experience with ML, deep learning, Tensorflow, OpenCV
  • Experienced with developing models solving real world problems in the following fields: cities, transportation, infrastructure and Energy
  • Experience with cloud services: AWS
  • Experience with video, camera and robotics
  • Knowledge of underlying production technology such as Linux, Kubernetes/Docker and Git(hub)
  • Expert python programmer and codes using software engineering best practices

You Are

  • A highly professional, committed, accountable and adaptable individual
  • Very results oriented and have a "you see it, you own it" approach
  • Very high attention to detail and rigorous in enforcing quality standards
  • Able to work independently and cross-functionally with other members of the team
  • Comfortable in communicating both good and bad news to all stakeholders
  • Able to produce efficient, robust and scalable solutions
  • Passionate about cutting-edge tech within the data engineering space
  • Comfortable working in a fast paced deployment centric environment exploring the unknown
  • Right to work in Australia

Nice to Have

  • Experience in integrating LLM and VLM models for Computer Vision purposes
  • Experience with various cloud platforms beyond AWS
  • Strong understanding of MLOps practices
  • Familiarity with data visualization tools
  • Experience in real-time video processing and streaming technologies
  • Contributions to open-source computer vision projects
  • Experience with edge computing for AI models
  • Knowledge of ethical AI principles and responsible AI development

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