ML Consultant
Role & Key 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)
Technical Skills
- 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
Experience Required
- 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
Learn more about our culture and what we can offer you.