Principal Engineer-AI/ML Engineering
Verizon Communications · Alpharetta, Georgia ·
- Work mode
- Hybrid
- Seniority
- Principal
- Employment
- Full time
- Category
- ML ai
- Experience
- 6+ years
Verizon Communications · Alpharetta, Georgia ·
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.
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.
Bachelor’s or foreign equivalent degree in Computer Science, Data Science, Electronic Engineering or a related field, and 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. Experience therein to include:
6 years in the following: data science and data engineering; statistics, Machine Learning, Deep Learning, and Natural Language Processing; SQL, Hive, Python, Spark and Linux; Google Cloud Platform tools including BigQuery, Dataproc, Google Compute Engine, or Cloud Functions; data modeling, programming, data mining, large scale data acquisition, transformation and cleaning of structured and unsecured data; and subject matter expertise in data integration, data quality, database architecture, and data governance.
Hybrid role, ability to work from home.
Must Reference: CBBARS-W
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.