Computer Vision Engineer

Job Locations:

Brisbane or Sydney, Australia

Singapore

Bangkok

Work Setup: Hybrid
Start Date: ASAP
Experience: 5 to 7 years

Job Overview:
We are seeking an experienced and innovative Computer Vision Engineer to join our R&D team. This role is ideal for a hands-on professional with a startup mindset who thrives on building solutions from the ground up. As part of our team, you will play a crucial role in shaping our data science strategy, developing advanced computer vision models, and collaborating with partners to implement cutting-edge solutions.

Key Responsibilities:

• Business Requirements: Understand and analyze business needs to design and develop effective computer vision solutions that align with our strategic goals.
• Innovation Strategy: Contribute to the continuous innovation and improvement of our product by integrating state-of-the-art computer vision techniques.
• Data Science Strategy: Design and implement a comprehensive data science strategy to enhance our product offerings.
• Model Development: Develop, test, and refine advanced computer vision models to solve complex problems and drive product innovation.
• Collaboration: Work closely with cross-functional teams and external partners to ensure the successful application of computer vision solutions.

Requirements

• Experience: 5 to 7 years in IT, digital companies, or software development, with a focus on computer vision projects.
• Technical Expertise: Strong experience in computer vision development and a deep understanding of the entire camera/video pipeline (lens distortion, sensor calibration, focus, etc.).
• Cloud Knowledge: Familiarity with Microsoft Azure and cloud-based solutions.
• Data Project Management: Experience or interest in managing data projects, with a focus on practical application and customer impact.
• Software Skills: Proficiency in at least one coding language and experience with software release management, including tools like Git.
• MLOps/DevOps: Hands-on experience with MLOps and DevOps practices, including tools like Docker and Ansible.
• Agile Practices: Knowledgeable in agile methodologies and experienced in working within a fast-paced, collaborative team environment.
• Communication: Excellent communication and presentation skills, with a customer-centric approach to problem-solving.