Principal Engineer-AI/ML Engineering

Verizon•Alpharetta, GA

1d•Hybrid

About The Position

Provide Artificial Intelligence (AI)/Machine Learning (ML) Engineering technical and subject matter expertise on data integration, data quality, database architecture, and data governance and support for the Enterprise Data Science portfolio. Responsible for expanding the model building, deployment, monitoring, innovation and research capabilities across the teams. Work closely with a team of data scientists and data engineers in driving the requirements, development, design and implementation of advanced platforms, tools, and systems in support of data science and machine learning initiatives to ensure proper alignment with enterprise initiatives and strategic objectives. Evaluate incoming requests for data science and analytics projects. Collaborate with the business to understand requirements and communicate results. Partner with the data science community to develop tools and methodologies to provide operational support and to interpret large volumes of transactional or other forms of data used for mining and analytics to increase profitability, reduce churn and support new goods and services. Partner with the EDW team to plan and implement data science solutions. Keep abreast of data science and machine learning tools and methodologies, industry trends and competitive landscape to identify new tools, training, and development opportunities. Prepare and communicate executive level presentations focusing on data science, roadmaps, business value, project status and project benefits. Accelerate the data science innovation efforts via technical guidance, solution design and hands on participation in experiments. Drive Big Data architecture and the development of advanced technologies using Google cloud and AWS platforms. Research, design and implement new technologies for delivering leading edge solutions. Work and collaborate with various teams to meet the challenge of the full integration of advanced data science and big data with established (or new) structured and clean data sources for improved business insights and actions. Develop methods, techniques and evaluation criteria in identifying advanced data science solutions, and collaborate with the business to gain competitive advantage in the marketplace. Implement and support data science, data management and tools that enable advanced data science. Enable and support the data science community in their efforts to create models and analytics that promote the initiatives of the business stakeholder community to expand and grow business opportunities and revenue.

Requirements

Bachelor’s or foreign equivalent degree in Computer Science, Data Science, Electronic Engineering or a related field
6 years of progressive, post-baccalaureate experience in the job offered or as a Data Scientist, Data Science Engineer, Big Data Engineer, or in a related/similar position.
6 years in data science and data engineering
6 years in statistics, Machine Learning, Deep Learning, and Natural Language Processing
6 years in SQL, Hive, Python, Spark and Linux
6 years in Google Cloud Platform tools including BigQuery, Dataproc, Google Compute Engine, or Cloud Functions
6 years in data modeling, programming, data mining, large scale data acquisition, transformation and cleaning of structured and unsecured data
6 years of subject matter expertise in data integration, data quality, database architecture, and data governance.

Responsibilities

Provide Artificial Intelligence (AI)/Machine Learning (ML) Engineering technical and subject matter expertise on data integration, data quality, database architecture, and data governance and support for the Enterprise Data Science portfolio.
Expand the model building, deployment, monitoring, innovation and research capabilities across the teams.
Work closely with a team of data scientists and data engineers in driving the requirements, development, design and implementation of advanced platforms, tools, and systems in support of data science and machine learning initiatives.
Evaluate incoming requests for data science and analytics projects.
Collaborate with the business to understand requirements and communicate results.
Partner with the data science community to develop tools and methodologies to provide operational support and to interpret large volumes of transactional or other forms of data used for mining and analytics.
Partner with the EDW team to plan and implement data science solutions.
Keep abreast of data science and machine learning tools and methodologies, industry trends and competitive landscape to identify new tools, training, and development opportunities.
Prepare and communicate executive level presentations focusing on data science, roadmaps, business value, project status and project benefits.
Accelerate the data science innovation efforts via technical guidance, solution design and hands on participation in experiments.
Drive Big Data architecture and the development of advanced technologies using Google cloud and AWS platforms.
Research, design and implement new technologies for delivering leading edge solutions.
Work and collaborate with various teams to meet the challenge of the full integration of advanced data science and big data with established (or new) structured and clean data sources for improved business insights and actions.
Develop methods, techniques and evaluation criteria in identifying advanced data science solutions, and collaborate with the business to gain competitive advantage in the marketplace.
Implement and support data science, data management and tools that enable advanced data science.
Enable and support the data science community in their efforts to create models and analytics that promote the initiatives of the business stakeholder community to expand and grow business opportunities and revenue.