Sr Advanced Data Scientist

Join a team recognized for leadership, innovation, and diversity. You must have a Ph.D. or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field. Exposure to the Finance domain and use cases in a larger global enterprise setting is required. Additionally, you should have a minimum of 8 to 10 years of Data Science prototyping experience using machine learning techniques and algorithms such as k-means, k-NN, Naive Bayes, SVM, and Decision Trees, with proficiency in Python and/or R tool-stack. Moreover, a minimum of 8 to 10 years of Machine Learning experience of physical systems is expected. You should also possess a minimum of 4 to 6 years of experience with distributed storage and compute tools like Hive and Spark. Furthermore, a minimum of 8 to 10 years of experience in deep learning frameworks like PyTorch and Keras is essential. Experience in designing, building models, and deploying models to Cloud Platforms such as Azure and Databricks is a plus. Having a working knowledge and experience of implementing Generative AI in the industry and keeping up with the latest developments in the field of Artificial Intelligence is highly valued. A research mindset with a problem-solving attitude is a MUST. Experience with Natural Language Processing models, Streaming Analytics (i.e., Spark Streaming), Recurrent Neural Network architectures, Image Analytics, SQL, and working with remote and global teams is beneficial. Knowledge of Corporate Finance or Financial Analytics is advantageous. The ideal candidate should be results-driven with a positive can-do attitude. If you meet these requirements, this role could be a great fit for you. Please note the following additional information: JOB ID: HRD251841 Category: Engineering Location: Devarabisanahalli Village, KR Varturhobli, East Taluk - Phase I, Bangalore, KARNATAKA, 560103, India Exempt Early Career (ALL),