Salary : 40 to 60 LPA
We Are Hiring An AI/ML Engineer
Job Description
We are building the next-gen AI-native, multilingual, omnichannel 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
Required Skills & Qualifications
- Total experience of 10 to15 years
- 2-5 years of experience in 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
- Strong understanding of NLP/STT/TTS, summarization, and emotion tagging
- Ability to work in startup-paced environments with ownership mindset
Bonus Skills
- Experience with multilingual models (Hindi, Tamil, Bengali)
- Exposure to Rasa, Coqui TTS, or OpenWA integrations
- Prior work in SaaS/Contact Center/Dialer/CRM ecosystems
- Familiarity with speech emotion recognition or agent coaching models
Why Join Us
- Shape the AI-native dialer experience for agents across India and Overseas
- Build with purpose multilingual, affordable, fast-deploy SaaS platform for emerging markets
- Work with modern tech : GPT, Whisper, LangChain, WebRTC, React, FastAPI
- Equity + flexible remote working + startup velocity
Location : Gurugram/Gudgaon
(ref:hirist.tech)
