About the Position

We are seeking an ML Consultant to architect and design end-to-end conversational AI solutions using Speech Models and LLMs.

Responsibilities

Architect end-to-end conversational AI solutions integrating Speech Models (ASR/TTS) and LLMs
Design real-time voice agent solutions optimized for low latency and high responsiveness
Evaluate and benchmark Speech/LLM technologies (open-source & Azure) with a focus on security and compliance
Develop fine-tuning and adaptation strategies for audio, dialog models
Provide expertise for safety-critical use cases (handling sensitive client data, regulated interactions)

Voice AI: Speech-to-Text and Text-to-Speech integration (Azure Stack and Open Source), orchestration of voice agents
LLM & NLP: experience with LLMs; intent classification, slot extraction, summarization
Safety & Risk AI: hands-on experience with AI systems in regulated or safety-critical domains; privacy-aware design
MLOps: Azure ML, Databricks, AKS, CI/CD for ML pipelines
Evaluation & Testing: create and execute testing and monitoring approaches that validate both technical performance and real conversational behavior

Strong ML and AI background with a deep understanding of modern ML practices
Extensive experience in designing and delivering end-to-end AI pipelines
Strong focus on creating scalable and flexible architectures suited to large-scale enterprise environments