Required 

• BTech/Bachelor’s degree
• Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
• Full time 4-7 years relevant work experience in analytics/data science
• Proficiency with mathematics and statistical analysis with significant hands-on experience in AI / Data Science.
• Proficiency in Programming Languages (Python), SQL
• Knowledge in exploratory analysis, predictive modeling, prescriptive modeling, strong understanding of machine learning algorithms like Regression, Bagging (Decision Trees, RF), Boosting (XGBoost, GBM), Clustering (KMeans),
• Knowledge of Deep learning and applied experience in NLP and Computer Vision applications
• Hands on experience of working with deep learning models and programming frameworks like TensorFlow, PyTorch etc.
• Sound understanding in AWS services including Sagemaker, Redshift, Athena, S3 & AWS data lake.
• Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience
• Ability to work collaboratively with a variety of business, data science and technical stakeholders.