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What you'll be doing…
As an Engineer III Specialist in AI Science, you will be a key hands-on contributor responsible for the implementation, testing, and maintenance of AI/ML solutions that power the autonomous network operations platform. This role supports the core strategy of transitioning from reactive, queue-based work to continuous, 24/7 autonomous network coverage. You will be responsible for developing and deploying production-grade AI driven Agents that operate within the five layers of autonomous agents, focusing on data processing, feature engineering, and implementation of algorithms that detect issues, aggregate impact, and generate evidence-based insights.
Develop and implement components of AI/ML solutions using Python and CI/CD practices.
Contribute to building scalable and efficient AI Agents for large-scale data processing.
Implement and analyze the performance of established algorithms, including those from deep learning and generative AI.
Write complex queries using SQL/BigQuery to extract data and build features necessary to train models and derive business insights.
Assist in designing and implementing AI/ML pipelines for model training and deployment.
Collaborate effectively with team members to deliver high-quality, impactful autonomous solutions.
What we're looking for…
You'll need to have:
Bachelor’s degree in Computer Science, Data Science, or a related field or four or more year of work experience.
Three or more yeas of relevant work experience.
Two or more years of experience developing and implementing AI/ML solutions.
Strong programming skills in Python and Spark, with experience in CI/CD practices.
Experience with public cloud platforms (AWS, Azure, GCP) and distributed computing.
Understanding of AI/ML algorithms, including deep learning and generative AI techniques.
Experience working with GCP, BigQuery/SQL, Python, and Spark.
Even better if you have one or more of the following:
Experience in building scoring models and anomaly detection solutions.
Experience with developing and deploying machine learning models to production.
Familiarity with the telecommunications industry data and network domain.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.