Senior Machine Learning Professional
2 days ago
As a seasoned Machine Learning Engineer, you will have the opportunity to lead a team of experienced professionals in developing cutting-edge machine learning models. With a strong academic background, holding a Master's degree in Machine Learning and Computer Vision and a Bachelor's degree in Computer Science, you will be able to effectively manage complex data collection and cloud infrastructure.
Key SkillsMachine Learning Engineer, AI Research Scientist, Computer Vision Engineer, AI Consultant
Education and ExperienceMaster of Machine Learning and Computer Vision at The Australian National University, Bachelor of Computer Science at Swinburne University of Technology
With extensive experience leading the ML division, you will excel in developing reinforcement learning models that revolutionize financial planning efficiency. Your expertise in training CNN models and applying dimensionality reduction techniques to image datasets will be invaluable assets to our organization. You will also be responsible for implementing successful reward and observation shaping strategies.
Additionally, you will have the opportunity to deploy models to web applications, allowing for manual, automated, and hybrid modes. Your ability to build and oversee databases and cloud infrastructure will be crucial in supporting the growth of our business.
In your previous role as a Machine Learning Fellow, you gained valuable experience in training headless CNN models on large datasets and using dimensionality reduction methods to project image clusters. You also developed a metric to identify image type given a set of images.
BenefitsWe offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our team is passionate about innovation and excellence, and we are committed to providing the best possible solutions for our clients.
What We OfferWe offer competitive salaries, comprehensive benefits, and a range of perks and incentives. Our employees enjoy a healthy work-life balance, with flexible hours and remote work options available.
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