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Engr II-AI/ML Engineering

Verizon

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What engineering roles keep asking for: AWS (17%), Python (14%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Verizon?
  2. What is your experience with GCP? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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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, you'll 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.

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Listed on workday · posted 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Verizon, not by us.