Senior Machine Learning Engineer

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.

We are looking for an experienced, talented and motivated Senior AI/ML Engineer to lead AI Industrialization for Verizon.

You will provide technology leadership and drive technology discussions along with Enterprise Architecture, Data Science, and Data Engineering teams.

You will also serve as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.

You will lead the charter to Industrialize AI/ML model development, feature engineering, Model validation, deployment, and model observability in both real-time and batch setup.

• Leading the study and transformation of data science prototypes

• Researching, designing, and implementing appropriate ML algorithms and tools

• Leading the consolidation and implementation of new concepts and processes in areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.

• Serving as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.

• Setting the standards for datasets and data representation methods.

• Extending existing ML libraries and frameworks.

• Determining processes and standards for running machine learning tests and experiments.

• Designing, developing, testing, deploying, maintaining, and improving machine learning system software.

• Setting the strategy for ML/AI tools and processes, determining the future needs of the business.

• Partnering with stakeholders across various business units, Enterprise Architects, Governance, Legal Council, and Security to define an overall plan for the Registry, model governance and model inventory tracking.

You will be part of an industry-wide community, staying on top of the latest and greatest technologies to ensure an outside perspective is brought into Verizon. We're looking for someone who will define best practices in architecture to operate at an enterprise scale. Additionally, you will work with leadership and help align on strategies by defining a blueprint for ML Ops and coming up with high-level design to implement solutions.

You will need to have:

• Bachelor's degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Strong experience in Spark/Hive/SQL, including hands-on experience building and deploying large volume data pipelines

• Proficiency in Python, Scala, SQL PySpark, Kafka, use of scheduling tools, Devops using Jenkins

• Experience cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services

• Hands-on experience with Model Deployment, ML Engineering techniques, MLOps and tools, including ML Models measurement techniques, real-time and batch AI processors

• Hands-on experience with modeling platforms

Even better if you have one or more of the following:

• A degree in Computer Science, Engineering or related field

• Hands-on experience with modeling platforms and tools such as and tools like Domino, Jupyter, H2O.ai, DataRobot, Conda, ML Flow

• Advanced skills in programming in Python, Java, and Git using Open Source tools like Spark, Flink and Jupyter Notebook

• Knowledge of Development Lifecycle Management, DevOps Automation methods and practices, Post-Production Model Monitoring and End-to-End Architecture

• Ability to run workloads over multiple nodes

• Knowledge of data administration practices and approaches for data collection and ingest using Open Source tools such as Logstash and Kafka in a Hadoop ecosystem

• Advanced knowledge of data science concepts and applied knowledge of practices and methods

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 veteran status, disability or other legally protected characteristics.