Principal Engineer-AI/ML Engineering

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

Build machine learning models including supervised, unsupervised and natural language processing; work with linear and logistic regression, and classification using Knn, Clustering, Bagging, Boosting and other machine learning techniques; use Jupyter notebooks, Python ML libraries, Spark distributed data processing and other open source tools; test and evaluate model results and performance using various scores such as F1, ROC, AUC, Gini Index, Log loss scores etc.; perform model deployment, integrate model results into Systems of Engagement; use and build integrations with Flask, CICD, Python, UNIX shell scripting and other standard deployment tools; perform integration testing to prove models were appropriately executed, results stored, actions triggered; interface with other applications, and understand protocols and execute on design; responsible for platform build, including Kubernetes based containerized platform using AI processor; design and build dedicated edge nodes using Hadoop, HDFS, Hive, PySpark, and SQL; oversee the implementation of North Star architectural components; analyze data to find out trends in the data such as descriptive statistical analysis to find the distribution of central tendency and spot outliers; identify data sources for proving/disproving hypothesis for AI/ML use-cases; collaborate with teams to write SQL queries to pull data; manage communication and be the single point of contact for the team on certain responsibilities; manage security of the infrastructure on which the ML models run.

Master's or foreign equivalent degree in Information Technology, Statistics, Computer Science, Geospatial Information Sciences, or a related field, and 2 years of experience in the job offered or as a software or system engineer, insights analyst, business/financial data analyst, or in a related/similar position. Experience therein to include 2 years with data analysis, predictive modelling or predictive analysis, and using data modeling and programming languages including Python, R, SQL, and AI/ML (Artificial Intelligence/Machine Learning) technologies such as RNN (Recurrent Neural Network), CNN (Convolutional Neural Networks) and LSTM (Long Short-Term Memory Network). In lieu of a Master's degree and 2 years of experience, employer will accept a Bachelor's or foreign equivalent degree in the fields stated above degree and 5 years of progressive, post-baccalaureate experience in the skill sets stated above. Experience therein to include 1 year with exploratory data analysis, data mining or collecting, and data visualization; and 6 months in developing queries to collect data from multiple databases and create a centralized data warehouse in SQL Server and PostgreSQL. Hybrid role, ability to work from home.

Must Reference: Job # SHBANL-W

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