Verizon
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Hyderabad · Hybrid · ₹40 LPA · 3 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
- 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.
Qualifications
- Must-Have: Design, develop, and implement innovative AI/ML solutions using Python, CI/CD, public cloud platforms, and JavaScript frameworks.
- Must-Have: Contribute to developing robust and scalable distributed computing systems for large-scale data processing.
- Must-Have: 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.
- Must have experience on Model-serving runtimes Like BentoML or TensorFlow Serving (TFX) or Triton Inference Server
- Must have 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
- Must have 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
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Four or more years of proven 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.
- 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.
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Job application FAQ
Last updated 10 October 2026
- How do I apply for Engr III Cslt-AI Science 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 Cslt-AI Science 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 Cslt-AI Science remote or on-site in Hyderabad, Telangana?
- This listing is marked hybrid with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Engr III Cslt-AI Science role at Verizon?
- Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.