Sr.AI ML Engineer For Product Development Organization

TeamLease; Gurugram District; On-site; INR 3,200,000 - 7,000,000; Full time

Job summary

TeamLease is seeking an AI/ML & Data Engineering Lead to own the agent‑assist stack, including Whisper/STT, LangChain-based summarization and real‑time data pipelines. This foundational role blends applied ML, LLM integration, and modern data engineering to drive real-time decisioning across the platform.

The ideal candidate has 8+ years in ML/AI and data engineering, hands‑on with Whisper, LangChain, HuggingFace, and scalable ETL/ELT workflows, and can guide a small team in a fast-paced startup

Qualifications

• 8+ years of experience in ML/AI and data engineering
• Hands-on with Whisper, LangChain, HuggingFace
• Strong Python, PostgreSQL, and RESTful API experience
• Experience with CI/CD, Docker, Kubernetes
• Ability to lead in a startup environment

Responsibilities

• Lead LLM-based feature development: summarization and sentiment tagging
• Develop scalable data pipelines using PostgreSQL, Redis, Kafka
• Architect real-time analytics and dashboards for dashboards and feedback loops
• Oversee model governance, evaluation, and latency optimization
• Collaborate with product, engineering and UX to ship features

Skills

Python

LLMs

NLP

PostgreSQL

RESTful APIs

CI/CD

Docker

Kubernetes

LangChain

FastAPI

Tools

FastAPI

Docker

K3s/Kubernetes

Redis

Kafka

RabbitMQ

PostgreSQL

Job description

AI/ML- Engineer

We are building the next-genAI-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 juniorMLand data engineers; define and enforce coding/data standards
• Contribute toAIstrategy, model governance, and data infrastructure roadmap

Required Skills & Qualifications

Total experience of 8+ years

• Min 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

Why Join Us?

• Shape theAI-native dialer experience agents across India and Oversees
• Build with purpose — multilingual, affordable, fast-deploy SaaS platform for emerging markets
• Work with modern tech: GPT, Whisper, LangChain, WebRTC, React, FastAPI

FastAPRole & responsibilities