Senior NLP Scientist

Location: Hydrabad, India

Type: Full-Time Joining Preferred

CTC: Competitive

Company Description

YAL.ai (Your Alternative Life) is an innovative communication and discovery platform redefining how individuals connect and collaborate. With cutting-edge AI technology, YAL.ai offers secure instant chats, group discussions, thriving communities, and VoIP capabilities for seamless and dynamic communication. Built on a Zero Trust Architecture, the platform prioritizes security and privacy through features such as on-device AI, zero-day fraud detection, and multilingual support, including automatic speech recognition (ASR). At YAL.ai, where AI meets integrity, users experience smarter, secure, and impactful communication in a privacy-focused digital environment. The company is dedicated to building meaningful connections and vibrant communities worldwide.

Role Overview

We are looking for a Senior NLP Scientist to lead the design, training, and deployment of advanced NLP and LLM systems across conversational AI, retrieval-augmented generation, multilingual understanding, speech-text integration, and agentic workflows. This role requires deep research capability combined with strong production experience.

Key Responsibilities

• Architect end-to-end NLP and LLM systems for production scale
• Lead model training, fine-tuning, distillation, and optimization
• Design and implement RAG architectures with secure document pipelines
• Develop evaluation frameworks for automated quality measurement
• Build multilingual NLP systems with focus on low-resource languages
• Contribute to hybrid RAG + Knowledge Graph retrieval systems
• Implement guardrails, safety mechanisms, and hallucination mitigation
• Optimize models for low-latency inference (edge + cloud deployment)
• Mentor junior scientists and define research roadmap
• Collaborate with product and leadership teams to align AI strategy

Required Qualifications

• Masters or PhD in NLP, ML, AI, or related field
• 5+ years of experience in NLP / LLM systems
• Strong expertise in Transformers, attention mechanisms, and scaling laws
• Experience training large models on multi-GPU infrastructure
• Deep understanding of RAG, embeddings, and retrieval systems
• Strong Python and deep learning framework expertise (PyTorch preferred)
• Experience deploying models in production environments
• Knowledge of evaluation metrics for generative AI systems

Preferred Skills

• Experience with multilingual and Indic language modeling
• Experience with speech-NLP integration pipelines
• Experience with quantization, pruning, distillation
• Familiarity with agentic AI systems and tool orchestration
• Experience with MLOps pipelines and containerized deployments
• Publications or open-source contributions in NLP

Leadership Expectations

• Define technical vision for NLP roadmap
• Establish model governance and quality benchmarks
• Drive experimentation velocity without compromising rigor
• Represent NLP initiatives in executive updates