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- Hybrid 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 Solid 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

📌 Senior Assistant Vice President (Noida)
🏢 EXL Service
📍 Noida