Data Scientist (Computer Vision)

Fortescue

Fortescue is at the forefront of innovation, focusing on AI to enhance productivity in their mine, rail, and port operations. They seek a Data Scientist to spearhead AI solutions that improve coordination across these domains. The successful candidate will join a pioneering team aiming to redefine productivity and efficiency through advanced AI techniques.

In this role you can expect to have the responsibilities:

• Design and implement AI computer vision algorithms to boost productivity.
• Engage with internal stakeholders to define and shape requirements.
• Collect, annotate, and process large datasets of images or videos.
• Develop test plans to ensure models perform well in real-world scenarios.
• Monitor model performance and manage development backlogs with cross-functional teams.
• Deploy models in production, including containerization and integration with various technologies.
• Stay updated on AI and ML advancements and incorporate new techniques.

This role comes with the following benefits:

• Opportunities to work in a leading company focused on decarbonization and renewable energy.
• Inclusive culture encouraging diverse backgrounds.

This role requires you to have:

• Advanced degree in a quantitative discipline such as computer science, mathematics, or engineering.
• 1-3 years of experience in data science and AI within industrial applications.
• Proficiency in statistics, machine learning, and experimental design.
• Knowledge of Python and frameworks like TensorFlow or PyTorch.
• Experience with SQL and AWS platforms like S3 and EC2.
• Strong analytical and problem-solving abilities.

You would benefit from having:

• Experience with industrial communication protocols like MQTT.
• Familiarity with Docker and Kubernetes for model deployment.
• Prior impressive work in related fields.

Fortescue is committed to fostering a diverse and inclusive workforce, welcoming candidates from varied backgrounds, including First Nations Peoples and the LGBTQ+ community. They prioritize a safe and equitable work environment and never request payment for the application process.