Senior AI Engineer for Enterprise AI Transformation
7 days ago
Job Description:
We are seeking a highly skilled and experienced Senior AI Engineer to lead the transformation of our AI capabilities at Verizon. This role will require expertise in designing, developing, and deploying AI solutions that drive business value.
About the Role:
This is a hybrid role with a defined work location that includes both work-from-home and assigned office days per month. The successful candidate will have a strong understanding of AI technologies and their applications in the enterprise space. They will be responsible for leading the development of AI solutions, collaborating with cross-functional teams, and driving the adoption of AI across the organization.
Key Responsibilities:
- Design and Develop AI Solutions: Develop innovative AI solutions that meet business needs, utilizing tools such as Domino, Jupyter, H2O.ai, DataRobot, Conda, and ML Flow.
- Lead AI Engineering Teams: Lead and mentor high-performing AI engineering teams to ensure delivery of high-quality AI solutions.
- Collaborate with Cross-Functional Teams: Collaborate closely with data science, data engineering, and architecture teams to ensure alignment and effective use of AI technologies.
- Drive AI Adoption: Drive the adoption of AI across the organization, working closely with stakeholders to identify opportunities and develop strategies for implementation.
- Stay Up-to-Date with Industry Trends: Stay current with the latest advancements in AI research and industry trends, applying this knowledge to drive innovation and improve AI solutions.
Requirements:
The ideal candidate will have:
- A Bachelor's degree or four or more years of relevant work experience.
- Four or more years of experience in AI engineering, including hands-on experience with machine learning algorithms, deep learning techniques, and model deployment.
- Strong understanding of software development principles and practices, including Agile methodologies.
- Experience working with cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
- Knowledge of containerization using Docker and orchestration using Kubernetes.
- Familiarity with CI/CD pipelines and continuous integration tools.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Salary: $120,000 - $180,000 per year, based on qualifications and experience.
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