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
- Solid 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

📌 Senior NLP Scientist (Hyderabad)
🏢 Yal
📍 Hyderabad