Job Title: AI/ML- Engineer

We are building the next-gen AI-native, multilingual, Omni channel communication platform for emerging markets. We are looking for a hands-on AI/ML & Data Engineering Lead who will own and deliver critical components of our agent assist stack — including Whisper/STT, LangChain-based summarization, emotion tagging, GPT integration, and scalable data pipelines.

This is a foundational role blending applied machine learning, LLM integration, and modern data engineering to drive real-time decisioning and automation across the platform.

Key Responsibilities

AI/ML + LLM/NLP

Lead implementation of LLM-based features: summarization, sentiment detection, auto-disposition, escalation tagging

Fine-tune and evaluate models (Whisper, GPT, HuggingFace, Rasa) for vernacular (Indian) language support

Build and deploy LangChain pipelines for prompt engineering, QA tagging, and agent assist

Prototype emotion recognition, contextual agent replies, and real-time assist layer

Build and maintain inference pipelines using FastAPI, Docker, Kubernetes

Integrate AI modules into core product features (Dialer, CRM sync, IVR)

Optimize model latency and deployment strategy for high concurrency environments

Architect scalable data pipelines using PostgreSQL, Redis, and Kafka

Build ETL/ELT workflows to support real-time analytics, dashboards,



and feedback loops

Maintain secure, compliant data storage, retrieval, and access control pipelines (DPDP, GDPR-ready)

Collaboration & Leadership

Work closely with Product, Engineering, and UX to deliver features that directly impact agent productivity

Guide junior ML and data engineers; define and enforce coding/data standards

Contribute to AI strategy, model governance, and data infrastructure roadmap

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Required Skills & Qualifications

5+ years of experience with ML/AI/Data Engineering with exposure to LLMs and production-grade pipelines

Hands-on with Whisper, LangChain, HuggingFace, or similar frameworks

Solid Python (FastAPI preferred), SQL/PostgreSQL, and experience with RESTful APIs

Proven experience with CI/CD, Docker, K3s/Kubernetes, Redis, Kafka/RabbitMQ

Solid understanding of NLP/STT/TTS, summarization, and emotion tagging

Ability to work in startup-paced environments with ownership mindset

Pay: ₹1,000,000.00 - ₹1,600,000.00 per year

Application Question(s):

- What is your notice period and how soon you can join ?

Experience:

- LLM, Langchain and Rag: 3 years (Required)
- AI: 4 years (Required)
- Python: 5 years (Required)
- Whisper: 2 years (Required)

Work Location: In person

📌 AI/ML Engineer (India)
🏢 eDAS
📍 India