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As an Applied Scientist, you will be responsible for delivering high-impact solutions to complex business problems. Your role will involve exploring cutting-edge technologies, including Generative AI, and customizing large models to suit the application.
The Last Mile Address Intelligence team owns the global charter for address and location learning solutions, which are critical for efficient last-mile delivery planning. The team is led by Saurabh Sohoney and spans multiple locations.
To succeed in this role, you will need:
- A strong background in machine learning, natural language processing, and semi-supervised & graph-based learning.
- Experience in building prototype models and transitioning them to production environments.
- Effective communication skills to explain complex technical concepts to stakeholders with varying levels of technical expertise.
In addition to these skills, we are looking for candidates who have a proven track record of:
- Publication at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python, or related languages.
- Background in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
We offer a dynamic and supportive work environment that encourages collaboration and innovation. If you are passionate about using AI to drive business value, we encourage you to apply for this exciting opportunity.
