Engr II-AI ML Engineering

Verizon; Chennai District; Hybrid; INR 1,500,000 - 2,800,000; Full time

Job summary

Verizon is seeking a highly motivated AI/ML Engineer to design, build and enhance scalable AI systems. You will work with tech leads to drive best practices across a multi-cloud environment, planning and operating in hybrid setups.

The role focuses on implementing cloud-native AI solutions, containerized services, and large-scale AI infrastructure across GCP/AWS or equivalent.

Qualifications

• Two+ years of experience with GCP IaaS and GCP services.
• 1+ year of building automation for cloud environments.
• Experience implementing cloud-native AI solutions on GCP/AWS or equivalent.
• Experience building and scaling containerized AI services using modern stacks.

Responsibilities

• Implement and tune AI/ML platforms for training, fine-tuning and inference.
• Collaborate with leads to plan, configure, deploy and operate in cloud solutions.
• Work on large-scale AI platform implementations in hybrid cloud environments.
• Build next-gen AI infrastructure for Verizon using cloud-native technologies.

Skills

GCP IaaS

GCP products

Automation in cloud

AI/ML platforms

Containerized AI services

Tools

Kubernetes (K8s)

OpenShift

Job description

Job Description:

When you join Verizon

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.

What you'll be doing...

We are seeking a highly motivated AI/ML Engineer to join our growing team. You will play a critical role in designing, building, and enhancing highly scalable and resilient AI systems. You will work closely with technical leaders, driving best practices across a multi-cloud environment.

What we're looking for...

• You will be Responsible for implementation and performance tuning of AI/ML Platforms in training, finetuning and Inferencing areas.

• You are a good team player and having go-getter kind of attitude with good inter-personal skills.

• You will work closely with tech leads to Plan, Configure, Deploy and Operate in cloud solutions.
• You will be working on implementation of large scale AI platforms, reusuable AI/ML products in a hybrid cloud environment.
• You will be building the next-gen AI infrastructure for Verizon using Cloud Native technologies and AI services using platforms like EKS,AKS,GKE,Openshift AI

You'll need to have:

• Two or More years of experience in leveraging GCP IaaS services & GCP products & Services with an overall 3 years of experience of hard-core platform engineering
• One or More years of experience in creating and developing possible automation solution for cloud environments
• Experience in implementing cloud native AI solutions on GCP,AWS or equivalent
• Experience in building and scaling containerized AI services using modern AI native stack

Even better if you have:

• CNCF CKAD/CKA
• Experience in Implementation of K8s within in large enterprise environment

Where you'll be working

In this hybrid role, youll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Requirements: