Verizon
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Chennai · Hybrid · 6 days ago
Telecommunications Services · 10000+ Employees · New York, US
We get you. 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. You’ll find all that here. Because we empower you. We power and empower how people live, work and play by connecting them to what brings them joy. The same is true inside our walls. We do what we love — driving innovation, creativity, and impact in the world. And wherever you go, we got your back. This is a team sport. 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 V Team Life. www.verizon.com/careers
Hiring: Engineering
What employees say
+ Great learning with sota and rapid scalable technical learning and business exposure.
− Poor roadmap management ,evrything is urgent amd very lesser clarity on the leadership
More reviews on the company profile.
Interview experience · Engineer
For campus interview First round - online assessment (leetcode medium level) Second round - group discussion Third round - Tech interview Fourth round - HR interview Have good projects in ur resume and know the basic
Average difficulty · Chennai · 482 reports
More interview insightsJob description
Overview
When you join Verizon
Responsibilities
- Model Productionization & Scaling: Architect, implement, and maintain scalable infrastructure to train, fine-tune, and deploy state-of-the-art AI models (e.g., Large Language Models, Multimodal Models, Deep Learning architectures).
- Research & Development Collaboration: Work alongside Research Scientists to translate novel theoretical concepts and prototypes into clean, modular, and performant codebases.
- Inference & Training Optimization: Optimize model inference and training workflows for memory, speed, and cost efficiency using techniques like quantization, pruning, distillation, and distributed execution.
- ML Pipelines & Data Architecture: Design resilient data pipelines, dataset curation workflows, and automated evaluation suites to ensure continuous model improvement and regression testing.
- System Design & MLOps: Build robust monitoring, logging, and continuous deployment (CI/CD for ML) systems to track model performance, drift, and system health in production.
- Technical Leadership: Code-review team contributions, mentor junior engineers, and drive technical best practices for engineering rigor within the AI Science organization.t
Qualifications
- Bachelor’s or degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field or four or more years of work experience.
- Three or more years focused on building, deploying, and maintaining ML/AI models in production.
- Expert-level programming proficiency in Python and deep understanding of modern ML frameworks (PyTorch, TensorFlow, or JAX).
- Strong background in system design, object-oriented programming, data structures, and software engineering best practices.
- Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
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Job application FAQ
Last updated 21 September 2026
- How do I apply for Engr III Spec-AI/ML Engring at Verizon?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Verizon may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Engr III Spec-AI/ML Engring role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Engr III Spec-AI/ML Engring remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Engr III Spec-AI/ML Engring role at Verizon?
- Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.