GCP Cloud Engineering and Big Data - Sr @ Pricewater House

A career in our Advisory Acceleration Centre is the natural extension of PwC s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

Skills :

• A background in data science with expert level skills in Python and SQL

• Minimum 2 years of experience in design, development of scalable and highly available machine learning systems

• Experience in processing and preparing data for analysis from large datasets from multiple sources and formats

• Minimum 2 years of experience in design and development of large scale machine learning systems using GCP services like Datalab, Dataprep, AI Platform, AI Infrastructure, AutoML, Compute Engine, BigQuery, DataFlow, Cloud Data Fusion, Cloud SQL, Cloud Storage and a good understanding of using Google AI services like Speech-to-Text, Text-to-Speech, Vision, Video and Cloud Natural Language

• Experience with frameworks like TensorFlow, Keras, Pytorch, Scikit Learn and KubeFlow

• Experience in Predictive modeling, Supervised learning, Unsupervised learning, Statistical Modeling, Natural language processing and Recommendation engines

• Experience in Deep Learning algorithms and Reinforcement Learning

• Experience in Logistic regression , Linear Regression, Support Vector Machines, Naive Bayes, K-means clustering, KNN Algorithm, Decision Trees, Random Forest, Gradient Boosting, AdaBoost and PCA Analysis

• Strong knowledge of linear algebra, probabilistic models and statistics

• Extensive knowledge of machine learning algorithms, libraries, data structures, data modeling, data analysis, feature engineering, technique selection and software architecture

• Experience in querying datasets, visualizations and reporting tools

• Experience in roles conducting requirements gathering, writing user stories and creating design documents.

• Proficiency in using GCP SDKs for interacting with native services

• Experience with Git and CI/CD pipelines

• Excellent communication skills with the ability to influence client business and IT teams

• Experience with Agile software development

• Ability to work independently and across multiple teams