Description

We are looking for passionate Data Science Interns who are willing to learn and grow with us Opportunity to work on core AI platform and consultancy research projects Job Responsibilities: Working upon day-to-day data analysis requirements, data visualization, and any data and reporting requirements Carry out data analysis and build machine learning and deep learning model understanding Deploying with pre-trained models Develop, Test and Deploy models in production working with DevOps tools to solve business problems on ML/AI applications and use cases Present the insights/performance of models/research to the team or manager communicating to prospects (if required) Communicate and coordinate with internal teams for various data requirements. Skills and Qualification: Any UG or PG with strong academic background students pursuing a masters or diploma in Data Science can apply Excellent communication skills and should be well versed with Python or R and SQL Must have worked on Data Science Projects Must have a good understanding of Data Science Life Cycle, Stats, Machine Learning(Supervised and Unsupervised Algorithms), Artificial Intelligence - ANN, CNN, RNN, NLP, NLU, NLG, LSTM, RASA, RL, Tensorflow, Keras, Flask, Django, etc. Familiarity with any cloud platform like AWS, GCP, or Azure would be an advantage Should be a team player and a quick learner and should be able to deliver under tight deadlines table to take initiative and responsibilities of his/her work.

Role and Responsibilities

• We are looking for passionate Data Science Interns who are willing to learn and grow with us Opportunity to work on core AI platform and consultancy research projects Job Responsibilities: Working upon day-to-day data analysis requirements, data visualization, and any data and reporting requirements Carry out data analysis and build machine learning and deep learning model understanding Deploying with pre-trained models Develop, Test and Deploy models in production working with DevOps tools to solve business problems on ML/AI applications and use cases Present the insights/performance of models/research to the team or manager communicating to prospects (if required) Communicate and coordinate with internal teams for various data requirements. Skills and Qualification: Any UG or PG with strong academic background students pursuing a masters or diploma in Data Science can apply Excellent communication skills and should be well versed with Python or R and SQL Must have worked on Data Science Projects Must have a good understanding of Data Science Life Cycle, Stats, Machine Learning(Supervised and Unsupervised Algorithms), Artificial Intelligence - ANN, CNN, RNN, NLP, NLU, NLG, LSTM, RASA, RL, Tensorflow, Keras, Flask, Django, etc. Familiarity with any cloud platform like AWS, GCP, or Azure would be an advantage Should be a team player and a quick learner and should be able to deliver under tight deadlines table to take initiative and responsibilities of his/her work.