Engr III Spec-AI Science

You want more out of a career. A place to share your ideas freely even if theyre 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 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.

What youll be doing...

As Engr III Consultant - AI Science you will play a leading role in building deploying and managing end to end AI Services to power traditional and generative AI use cases.

What were looking for...

• Design develop and implement innovative AI/ML solutions using Python CI/CD public cloud platforms and JavaScript frameworks.

• Contribute to developing robust and scalable distributed computing systems for large-scale data processing.

• Implement and analyze the performance of advanced algorithms including those from deep learning and generative AI.

• Design and implement AI/ML pipelines for efficient model training and deployment.

• Collaborate effectively with cross-functional teams to understand business needs and deliver impactful solutions.

• Experience on Model-serving runtimes Like BentoML or TensorFlow Serving (TFX) or Triton Inference Server

• Experience on Model-serving platforms like Cloud-provider platforms (Amazon SageMaker Vertex AI Azure Machine Learning) KServe Ray .

• Understanding of SOTA algorithms especially in personalization cognitive and generative models. Must have good understanding and ability to explain both the code and the underlying math used in algorithms/models.

• Familiarity with multi modal data vector and graph databases and data warehousing fundamentals

• Experience with cloud platforms like GCP AWS and their respective AI services

• Knowledge of GPU/CPU architecture and distributed computing

• Understanding of containerization(Docker) orchestration (Kubernetes) and CI/CD pipelines

• Exposure to large-scale AI training understanding of the compute system concepts (latency/throughput bottlenecks pipelining multiprocessing etc) and related performance analysis and tuning

Qualifications:

• Bachelors degree in Computer Science Data Science or a related field or four or more years of work experience.

• Three or more years of relevant work experience.

• Three or more years of experience designing developing and deploying AI/ML solutions.

• Strong programming skills in Python with experience in CI/CD practices and JavaScript frameworks.

• Expertise in public cloud platforms (AWS Azure GCP) and distributed computing.

• Deep understanding of AI/ML algorithms including deep learning and generative AI techniques.

• Excellent communication problem-solving and teamwork skills.

Even better if you have any of the following:

• Advanced degree in computer science Mathematics Data science or similar field

• Experience in developing and deploying real time AI models

• Prior experience with Generative AI techniques applied to Large Language Models And multimodal learning (Image Video Speech etc.).

• Repository of innovative AI research and applications in Github scientific publications and patents.

If Verizon and this role sound like a fit for you we encourage you to apply even if you dont 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.