Job Description:
A seasoned Machine Learning Engineer with a strong academic background, holding a Master's in Machine Learning and Computer Vision and a Bachelor's in Computer Science.
With extensive experience leading the ML division, excelled in developing a reinforcement learning model that revolutionized financial planning efficiency and managed complex data collection and cloud infrastructure.
Previous experience involved training CNN models and applying dimensionality reduction techniques to image datasets.
Proficient in Python, Java, and various ML libraries and tools, combining technical expertise with leadership skills, demonstrated through innovative projects.
Key responsibilities include:
* Developing and implementing machine learning algorithms to improve business efficiency
* Leading a team of junior ML engineers and mentoring them to enhance their skills
* Designing and deploying scalable cloud infrastructure to support ML workloads
Educational Background:
Master of Machine Learning and Computer Vision at The Australian National University
Bachelor of Computer Science at Swinburne University of Technology
Required Skills:
The ideal candidate will have the following skills and qualifications:
* Strong background in machine learning and computer vision
* Experience with deep learning frameworks such as TensorFlow and PyTorch
* Proficiency in programming languages such as Python and Java
* Excellent leadership and communication skills
Benefits:
We offer a competitive salary and benefits package, including:
* Opportunities for professional growth and development
* A collaborative and dynamic work environment
* A comprehensive benefits package, including health insurance and retirement plans
Why Join Us?
At our company, we are passionate about leveraging machine learning and AI to drive business success. We are committed to innovation, excellence, and collaboration, and we believe that our employees are our greatest asset.