Senior Assistant Vice President

Job Description

• 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.

• 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.