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What you’ll be doing...
You will architect, design, implement and support the full lifecycle of high-performance AI & ML systems, software, services and solutions in support of data science initiatives in Artificial and Intelligence (AI&D). You will provide thought leadership to the Platform and Ops team.
This position is part of our AI&D organization which focuses on delivering the power of data and AI to drive our marketplace leadership through innovative solutions that create value for our customers, shareholders, V teamers and society, responsibly.
Responsible for architecting, designing and implementing the full lifecycle of data science tools and data analytics platforms in support of analytic data warehouse, academic programs and research, ensuring quality, security, stability, integrity and recoverability
Contributes to building data models for analytical purposes
Architect, Designs, builds and maintains tools that automate common tasks that serve both technical support staff and data scientists
Provides tools, guidance and assistance to engineers to help them effectively manage their code and data
Diagnoses and resolves complex problems spanning multiple systems
Implement automation tools and frameworks (CI/CD pipelines). Knowledge of Ansible, Jenkins, Jira, Artifactory, Git, etc.
Function as SME both within Verizon and externally within industry
Serve as technical lead and advisor to Verizon Teams
Serve as trusted advisor for the business and IT groups
What we’re looking for...
You’ll need to have:
Bachelor’s degree or four or more years of work experience
Six or more years of relevant experience
Experience working with Public Cloud such as GCP, AWS or Azure
Experience with Big data systems and Data Science platforms
Experience in creating and managing production Data Science platforms like Datarobot, Domino Data Labs,
Even better if you have one or more of the following:
A degree. Bachelor’s degree preferred
Demonstrated expertise deploying and supporting complex scientific platforms, tools, and software (examples include SAS, R, Python, Hadoop, SQL, NoSQL, Tensorflow, RStudio, and Jupyter Notebook)
Experience building platform for E2E ML pipelines using Python, R, H2O, Tensorflow and Big Data platform: Data prep, Model Build, training models, Deployment, Scoring, Monitoring and optimization
General operational expertise such as good troubleshooting skills, understanding of system’s
Ability to analyze, evaluate, and implement complex IT systems, along with the ability to diagnose and resolve complex problems
Familiarity with open source configuration management and deployment tools such as Puppet or Chef and Linux scripting.
Maintains knowledge of current and emerging technologies, technology trends, and industry best practices for areas of responsibility
Equal Employment Opportunity
We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.