Requirements:-

• Bachelor's / Master's degree in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics, Artificial Intelligence.
• 2+ years of hands-on experience in designing algorithms in Data Science and Artificial Intelligence.
• Familiarity with data visualization libraries in R, Python
• Deep understanding of Data Structures and Algorithms.
• High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.
• Deep conceptual understanding of probability & statistics, ML algorithm intuition, and computer science fundamentals.
• Deep experience in statistical and machine learning techniques such as classification, regression, feature selection and feature engineering, hyperparameter tuning, unsupervised learning methods, etc.
• Experience with deep learning frameworks (e.g., TensorFlow, pyTorch).
• Experience with cloud service providers like AWS, GCP, Azure.
• Experience with fundamental building blocks of AI, such as natural language processing and computer vision.
• Experience with recommendation systems and reinforcement learning.
• Understanding of data visualisation concepts and fundamentals.
• Experience in any of these programming languages like PHP, Python, NodeJS, MySQL, MongoDB, Elasticsearch will be another added advantage.
• Ability to explain statistical reasoning to both experts and non-experts.
• Strong communication and interpersonal skills.
• Ability to learn new skills/technologies quickly and independently.
• Independent problem-solving skills.
• Must have worked on products with 10 to 100 million user base