Engr III Cslt-AI Science at Verizon | TopGenAIJobs

Engr III Cslt-AI Science

Verizon

Chennai / Hyderabad / Bengaluru

4+ years

Today

₹15–28 LPA

Full-time

Hybrid

Skills Required

Gen AI

Python

CI/CD

JavaScript

AWS

Azure

GCP

Distributed Computing

Deep Learning

BentoML

TensorFlow Serving

Triton Inference Server

Amazon SageMaker

Vertex AI

Azure Machine Learning

Description

You will play a leading role in building, deploying and managing end to end AI Services to power traditional and generative AI use cases.

Company: Verizon

Role: Engr III Cslt-AI Science

Location: Chennai, India/ Hyderabad, India/ Bangalore, India (hybrid role with work from home and assigned office days)

Experience:

four or more years of work experience
Proven experience designing, developing, and deploying AI/ML 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

Key Skills:

Python
CI/CD
JavaScript frameworks
public cloud platforms (AWS, Azure, GCP)
distributed computing
AI/ML algorithms
deep learning
generative AI techniques
Model-serving runtimes
Model-serving platforms
SOTA algorithms
multi modal data
vector and graph databases
data warehousing fundamentals
GPU/CPU architecture
containerization(Docker)
orchestration (Kubernetes)
CI/CD pipeline

Qualification:

Bachelor’s degree

Role Focus:

Design, develop, and implement innovative AI/ML solutions
Contribute to developing robust and scalable distributed computing systems for large-scale data processing
Implement and analyze the performance of advanced algorithms
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

Nice to have:

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

Other:

Equal Employment Opportunity employer
40 Scheduled Weekly Hours
Hybrid role with work from home and assigned office days

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.