Deep Learning Researcher

About Avo Intelligence

Avo Intelligence operates at the forefront of machine learning innovation, delivering transformative solutions that empower businesses to unlock the potential of their data. Based in Singapore, we specialize in providing world-class machine learning expertise that drives impactful results across industries such as finance, healthcare, logistics, and smart urban planning. With a network of highly skilled professionals experienced in raw machine learning applications, we are dedicated to fostering innovation and delivering meaningful outcomes for our clients.

About the Role

We are looking for passionate machine learning professionals to collaborate with our clients on revolutionary projects across a range of industries. This is an exciting opportunity to contribute to cutting-edge research and development in fields such as computer vision, natural language processing (NLP), and machine learning, while working closely with cross-functional teams to bring impactful solutions to life.

• Conduct advanced research and development in areas such as computer vision, natural language processing, generative AI, and machine learning.


• Collaborate with partners and engineers to develop or optimize models and algorithms, ensuring seamless transfer of innovations into practical applications.


• Publish high-quality research in top-tier conferences and journals, showcasing groundbreaking work.

• Ph.D. or equivalent expertise in computer science, electrical engineering, or related fields, with a focus on areas like generative AI, computer vision, NLP, or machine learning.


• Hands-on experience in developing algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python or C/C .


• Excellent communication skills, both written and verbal, with the ability to present complex ideas effectively.

• Work with some of the brightest minds in the machine learning field, tackling industry-specific challenges and pushing the boundaries of innovation.


• Collaborate on diverse projects that span industries and make a tangible impact.


• Be part of a global network of ML experts who are passionate about solving real-world problems through raw machine learning applications.