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
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