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Job details:
About the Role:
We are looking for a candidate with strong foundational knowledge in machine learning and deep learning, including architectures such as encoder–decoder models, transformers, CNNs, and GANs, along with a solid understanding of core algorithms like classification (generative and discriminative), regression, clustering, and dimensionality reduction. The ideal candidate should have a firm grasp of mathematical fundamentals, including probability and statistics, linear algebra, and optimization techniques, as well as strong proficiency in data structures and algorithms. Expertise in Python is essential, with hands-on experience using libraries such as Scikit-learn, SciPy, NumPy, Pandas, Matplotlib, and TensorFlow; familiarity with C/C++ or Java is a plus. A solid understanding of natural language processing (NLP) is required, and experience with large language models (LLMs) is preferred. In addition to technical skills, the candidate should possess excellent written and verbal communication skills, and demonstrate the ability to collaborate effectively within cross-functional teams.
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.
- Should be comfortable in analysing data, performing error analysis, 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:
- Hands-on experience with training, tuning and executing deep learning models (Essential)
- Hands-on experience with modifying deep learning research code (Preferred)
- Formal experience (e.g. as part of college curriculum or company project) of working on ML / DL projects (Preferred)
Qualifications:
- Bachelor’s / Master's / PhD Degree in CS / AI / ML /Data Science
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