AI Researcher

As a candidate, you should have a strong foundational knowledge in machine learning and deep learning, including architectures such as encoderdecoder models, transformers, CNNs, and GANs. Additionally, you should possess a solid understanding of core algorithms like classification (generative and discriminative), regression, clustering, and dimensionality reduction. It is essential to have a firm grasp of mathematical fundamentals, including probability and statistics, linear algebra, and optimization techniques. Proficiency in data structures and algorithms is also required. Expertise in Python is a must, with hands-on experience using libraries such as Scikit-learn, SciPy, NumPy, Pandas, Matplotlib, and TensorFlow. Familiarity with C/C++ or Java would be an added advantage. A solid understanding of natural language processing (NLP) is necessary, and experience with large language models (LLMs) is preferred. Strong written and verbal communication skills are crucial, along with the ability to collaborate effectively within cross-functional teams. Key Responsibilities: - Work on e-commerce search problems involving large volumes of complex, real-world structured and unstructured text data, image data, ontologies, and databases. - Analyze data, perform error analysis, debug, tune, and modify research code based on analysis to optimize performance. - Be willing to delve deep into problems by asking insightful questions and thinking creatively to find solutions. Qualifications: - Bachelors / Master's / PhD Degree in CS / ECE / EE / AI / ML / Data Science. (Note: No additional details about the company were provided in the job description) As a candidate, you should have a strong foundational knowledge in machine learning and deep learning, including architectures such as encoderdecoder models, transformers, CNNs, and GANs. Additionally, you should possess a solid understanding of core algorithms like classification (generative and discriminative), regression, clustering, and dimensionality reduction. It is essential to have a firm grasp of mathematical fundamentals, including probability and statistics, linear algebra, and optimization techniques. Proficiency in data structures and algorithms is also required. Expertise in Python is a must, with hands-on experience using libraries such as Scikit-learn, SciPy, NumPy, Pandas, Matplotlib, and TensorFlow. Familiarity with C/C++ or Java would be an added advantage. A solid understanding of natural language processing (NLP) is necessary, and experience with large language models (LLMs) is preferred. Strong written and verbal communication skills are crucial, along with the ability to collaborate effectively within cross-functional teams. Key Responsibilities: - Work on e-commerce search problems involving large volumes of complex, real-world structured and unstructured text data, image data, ontologies, and databases. - Analyze data, perform error analysis, debug, tune, and modify research code based on analysis to optimize performance. - Be willing to delve deep into problems by asking insightful questions and thinking creatively to find solutions. Qualifications: - Bachelors / Master's / PhD Degree in CS / ECE / EE / AI / ML / Data Science. (Note: No additional details about the company were provided in the job description)