Senior Assistant Vice President

8 - 12 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Designation and SRF Name-

Technical CX Consultant role

Role-

Permanent/ Full time

Panel and Hiring Manager-

Sanjay Pathak

Experience-

8-12 years relevant experience

Location-

Noida/ Gurgaon/ Pune/ Bangalore

Shift-

12PM to 10PM (10 Hours Shift. Also depends on the project/work dependencies)

Working Days-

5 days

Work Mode-

HybridJob Description: Highly skilled

CX Consulting with

deep expertise in CCaasS, Integrations, IVR, Natural Language Processing (NLP), Language Models, and scalable cloud-based solution deployment.

Skills

  • Technical Expertise:
  • Having a deep understanding of Conversational AI, Smart Agent Assist, CCaaS and their technical capabilities.
  • Stay current with industry trends, emerging technologies, and competitor offerings.
  • Customer Engagement:
  • Engage with prospective clients to understand their technical requirements and business challenges.
  • Conduct needs assessments and provide tailored technical solutions.
  • Solution Demonstrations:
  • Deliver compelling product demonstrations that showcase the features and benefits of our solutions.
  • Customize demonstrations to align with the specific needs and use cases of potential customers.
  • Strong NLP and Language Model fundamentals (e.g., transformer architectures, embeddings, tokenization, fine-tuning).
  • Expert in Python, with clean, modular, and scalable coding practices.
  • Experience developing and deploying solutions on Azure, AWS, or Google Cloud Platform.
  • Familiarity with Vertex AI, including Model Registry, Pipelines, and RAG integrations (preferred).
  • Experience with PyTorch, including model training, evaluation, and serving.
  • Knowledge of GPU-based inferencing (e.g., ONNX, Torch Script, Triton Inference Server).
  • Understanding of ML lifecycle management, including MLOps best practices.
  • Experience with containerization (Docker) and orchestration tools (e.g., Kubernetes).
  • Exposure to REST APIs, gRPC, and real-time data pipelines is a plus.
Degree in Computer Science, Mathematics, Computational Linguistics, AI, ML or similar field. PhD is a plus.

Responsibilities

  • Consulting and design end-to-end AI solutions for CX.
  • Consulting engagement of scalable AI services on cloud infrastructure (Azure/AWS/GCP).
  • Collaborate with engineering, product, and data teams to define AI-driven features and solutions.
  • Optimize model performance, scalability, and cost across CPU and GPU environments.
  • Ensure reliable model serving with a focus on low-latency, high-throughput inferencing.
  • Keep abreast of the latest advancements in NLP, LLMs, and AI infrastructure.

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