on ourto do the best work of your career and make a profound social impact.
What you’ll achieve:
Apply statistical & machine learning techniques to develop innovative solutions to streamline business processes and improve customer experience
Work closely with the Data Science Team to understand their problem statements. Collaborate with them to perform quantitative analysis and develop AI solutions using state of the art architectures
Establish new methods for forecasting and prediction, including identifying the causes and predictors of business-related issues.
Identify and implement top research paper architectures to optimize existing model accuracies
Essential Requirements:
Academic experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale
Academic or project Experience with Machine and Deep Learning toolkits such as TensorFlow and PyTorch. Experience in Reinforcement Learning and Conversational AI is a plus.
Knowledge of modern cloud-native architectures, microservices, CI/CD, DevOps tools.
Good problem-solving capabilities, analytical thinking and aptitude
Good understanding of predictive modeling, machine-learning and classification techniques, and algorithms
Desirable Requirements:
Undergraduate or Master's student in computer science, data science, AI or a related technical field. Internship for about 4 - 6 months