ØDesign and implementation of machine learning models, metrics and application of feature engineering techniques applied to customer’s problems.
ØThe engineering teams in the implementation of production-ready solutions involving machine learning.
ØAbility to provide creative and innovative approaches to problem solving
ØAbility to work independently and within a collaborative team environment
ØCommunicate and work with business subject matter experts.
ØExcellent communication skills.
ØBusiness sense and consulting behavior to identify and breakdown problems.
ØForecasting, anomalies detection, performance evaluation, risk analysis, preventive maintenance, proactive failure detection
ØResearch and understand user behavior patterns, such as user engagement and segmentation, using machine learning models, to help test hypotheses.
ØExtract and analyze the large volume of data to find the hidden insights.
ØAbility to understand mathematical models and algorithms, and to implement them into running software for projects & able to explore big data.
ØProficient in computer languages like Python, R and SQL, making use of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment.
Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning, like Regression, Classification, Clustering,