Responsibilities

·         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

·         Perform statistical analysis and fine-tuning of models to improve accuracy and performance

·         Extend existing ML libraries and frameworks

·         Keep abreast of developments in the field

·         Ability to work with unstructured problems and take end-to-end ownership of deliverables

Requirements

·         3-5 years of proven experience as a Machine Learning Engineer

·         Understanding of data structures, data modeling and software architecture

·         Deep knowledge of math, probability, statistics and algorithms

·         Proficiency in writing code in one or more languages like Python, R, Java, etc.

·         Deep understanding of machine learning frameworks like Keras, PyTorch and libraries like scikit-learn, matplotlib, etc.

·         Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.

·         Experience in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees etc;

·         Create reports, dashboards and answer ad-hoc questions that would help our stakeholders to make informed decisions;

·         Good understanding of image processing techniques

·         Good understanding of GPU architectures

·         Knowledge of databases and SQL would be a plus

·         Outstanding analytical and problem-solving skills