Engr III Cslt-AI Science

Verizon; Bengaluru; Hybride; INR 3 500 000 - 7 000 000; Plein temps

Résumé du poste

Verizon is seeking an Engr III Consultant - AI Science in Bengaluru to lead end-to-end AI services from development to deployment. You will work across teams to translate business needs into scalable AI solutions, with focus on model serving, performance, and cloud integrations.

Experience with distributed computing, DL/GenAI techniques, and container orchestration will be essential. This hybrid role combines work from home and office days.

Qualifications

• Bachelor’s degree in CS/Data Science or related field.
• 4+ years of experience designing, developing, and deploying AI/ML solutions.
• Expertise in public cloud platforms (AWS/Azure/GCP) and distributed computing.
• Strong knowledge of deep learning and generative AI techniques.
• Excellent communication, problem-solving, and teamwork skills.

Responsabilités

• Lead the design, deployment, and management of end-to-end AI services.
• Develop robust, scalable AI/ML pipelines for model training and deployment.
• Collaborate with cross-functional teams to translate business needs into solutions.
• Evaluate model performance and optimize compute and latency bottlenecks.

Connaissances

Distributed computing

AI/ML algorithms

Cross-functional collaboration

Model-serving

Cloud platforms (AWS/Azure/GCP)

Containerization (Docker)

Kubernetes

GPU/CPU architecture

Performance tuning

Python/ML frameworks

Formation

Bachelor’s degree in Computer Science, Data Science, or related field

Outils

BentoML

TensorFlow Serving (TFX)

Triton Inference Server

SageMaker

Vertex AI

KServe

Ray

Docker

Kubernetes

Description du poste

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...

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.

What we’re looking for...

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

Qualifications

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.

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.

Even better if you 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.

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.