Senior

AI

Researcher

About the Role

This role focuses on solving complex e-commerce search challenges using large-scale structured and unstructured data, including text and images. You will lead small teams of AI researchers while taking end-to-end ownership of problem-solving and solution development. Staying updated with the latest advancements in AI/ML, NLP, and Computer Vision will be key to applying cutting-edge techniques. The role also involves deep data analysis, error debugging, and continuous optimization of models. A strong curiosity and ability to think critically and creatively are essential to drive impactful solutions.

What you'll do

• Expected to work on e-commerce search problems involving large volumes of complex, real-world structured and unstructured text data, image data, ontologies and databases.
• Expected to lead small teams of junior AI researchers and take ownership of solving problems
• Expected to stay aware of AI research by reading recent papers in AI / ML/ DL / NLP / Computer Vision and make use of the state of the art in such areas for solving problems
• Should be comfortable in analysing data, performing error analysis, and debugging, tuning and modifying research code based on such analysis to optimise performance.
• The ideal candidate should be willing to get to the heart of a problem by asking deep questions and then thinking out of the box to find solutions.

What you'll need

• Publication Track Record
• (Co-)author (and ideally, first author) of at least 3 published research papers in CORE A* / CORE A venues in AI / ML / DL / NLP / Computer Vision conferences
• Knowledge / Skills
• Strong fundamental knowledge in Deep Learning (e.g. encoder-decoder model, transformer, CNN, GAN, LLM, VLM, etc.) and Machine Learning (e.g. generative and discriminative classification, regression, dimensionality reduction, clustering, etc.) models and algorithms
• Strong fundamental knowledge of Probability & Statistics, Linear Algebra, Discrete and Continuous Optimization, Calculus
• Strong fundamental knowledge of Data Structures and Algorithms
• Coding
• Python with expertise in packages for ML, Statistics, Data handling such as Scikit-learn, Scipy, Numpy, Matplotlib, Pandas, and Tensorflow (Essential)
• C/C++/Java (Preferred)
• Knowledge of state of the art in research in either NLP or Computer Vision
• Communication and collaboration skills
• Fluent in spoken and written English
• Ability to work and collaborate in teams
• Ability to create high-quality reports, research papers and presentations
• Experience
• Hands-on experience with training, tuning and executing deep learning models
• Hands-on experience with modifying deep learning research code
• Formal experience (e.g. as part of a college curriculum or company project) in leading ML / DL projects
• Formal experience in working towards and meeting deadlines

Qualifications

• PhD in CS / ECE / EE / AI / ML / Data Science
• OR
• MS / MTech in CS / ECE / EE / AI / ML / Data Science with >5 years of work experience in AI research and development