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Data Scientist. Full-time

at Innobuzz in Delhi (Published at 23-04-2019)


Experience in applying a wide variety of unsupervised and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.
Polyglot - able to learn and contribute using different languages and technologies.
Significant development experience with Python Study and transform data science prototypes.
Design machine learning systems.
Research and implement appropriate ML algorithms and tools.
Develop machine learning applications according to requirements.
Select appropriate datasets and data representation methods.
Run machine learning tests and experiments.
Perform statistical analysis and fine-tuning using test results.
Train and retrain systems when necessary.
Extend existing ML libraries and frameworks
Keep abreast of developments in the field.


Proven experience as a Machine Learning Engineer or similar role
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python, Java and R
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

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