Senior Assistant Vice President
- Noida, Uttar Pradesh
- Permanent
- Full-time
- 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.