ABOUT ADGRID
AdGrid is an early-stage, stealth-mode AdTech–FinTech company based in Gurugram, building a platform at the intersection of advertising technology and financial infrastructure. We are a small, fast-moving team hiring the people who will help shape the company from the ground up.

ROLE SUMMARY
We are looking for a Machine Learning Engineer to build and ship intelligent voice and language experiences across speech, LLMs, retrieval, and memory. You will work on STT, TTS, RAG, model training, and on-device AI, taking ML systems from data and experimentation to production.

KEY RESPONSIBILITIES
Build and optimise speech-to-text (STT) and text-to-speech (TTS) pipelines for natural, low-latency voice interactions.
Improve speech accuracy across Indian languages, accents, and noisy real-world environments.
Build LLM-powered features using Retrieval-Augmented Generation (RAG), embeddings, vector search, and grounded responses.
Design and manage short-term context and long-term memory across sessions.
Work on prompt design, model evaluation,



and continuous improvement of response quality.
Create, train, fine-tune, and evaluate models across speech, language, and retrieval use cases.
Work across the complete ML lifecycle, including data, features, training, evaluation, and iteration.
Run and optimise LLMs and speech models locally, on-device, or at the edge.
Optimize models for edge deployment through quantization, compression, and productive runtimes.
Ship ML models to production and contribute to serving, monitoring, and retraining.
Build reliable data and training pipelines.
Work closely with product and engineering teams to turn AI ideas into production-ready features.

WHAT WE ARE LOOKING FOR
2–3 years of hands-on experience building ML and AI systems, with experience shipping toward production.
Hands-on experience or strong project work with speech-to-text (STT) and text-to-speech (TTS) pipelines.
Experience building LLM systems using RAG, embeddings, vector

📌 Machine Learning Engineer (Gurugram)
🏢 AdGrid
📍 Gurugram