---
title: 'Data Scientist - II at Netomi'
canonical: 'https://feeny.ai/job/data-scientist-ii-netomi-gurugram-an42kefq9jdc'
type: 'job'
last_seen: '2026-10-16'
---

# Data Scientist - II at Netomi

- **Company:** Netomi
- **Location:** Gurugram, India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-03-02
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.lever.co/netomi/f24c0390-c103-4609-b8e4-abab0aca928c

## Job description

About the Company: Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

Job Description:

Do you believe in the missions Intelligence agencies? Are you interested in solving complex programmatic and technical issues?

If you are interested in working on some of the most challenging technical and programmatic issues , we are interested in talking to you about Netomi work and career opportunities.

We are seeking a Senior Data Scientist with deep expertise in Large Language Models (LLMs) and modern AI systems to join our team. This role combines cutting-edge research, rapid prototyping, and production-grade implementation to deliver innovative AI-powered solutions. You will drive NLP and machine learning projects from conception through deployment, working as both a direct contributor and key technical advisor.

Job Responsibilities

- Research & Innovation - Stay current with the latest LLM research, architectures, and advancements in the field including real-time models and multimodal systems. Evaluate emerging techniques and methodologies for potential application to business problems. Monitor developments in transformer architectures, fine-tuning approaches, model optimization, and real-time inference. Research and assess new LLM capabilities, frameworks, and API features as they emerge
- Solution Design & Prototyping - Identify and define approaches for complex AI challenges leveraging state-of-the-art LLMs. Design and build proof-of-concept solutions to validate technical feasibility. Rapidly prototype LLM-based applications using modern frameworks and orchestration tools. Conduct rigorous experiments to evaluate different approaches and methodologies. Work collaboratively in multi-disciplinary team environments and establish professional networks with subject matter experts
- Production Development & Software Engineering - Write clean, maintainable, production-quality code following software engineering best practices and design patterns. Develop robust, scalable agentic workflows using orchestration frameworks (such as LangGraph, CrewAI, or similar). Implement advanced LLM features, including tool calling, function calling, structured outputs, and multi-turn conversations. Build production-grade systems utilizing Model Context Protocol (MCP) and other emerging standards. Design and implement scalable, fault-tolerant architectures for real-time LLM-powered applications. Conduct thorough code reviews and maintain high code quality standards. Optimize code for performance, memory efficiency, and cost-effectiveness in production environments
- Experimentation & Optimization - Design rigorous experiments to test hypotheses and validate model performance. Develop evaluation frameworks for LLM outputs, system performance, and user experience. Optimize prompt engineering strategies, fine-tuning approaches, and inference efficiency. Conduct A/B tests, performance benchmarking, and statistical analysis

## Requirements

- 3-5 years of experience in data science, machine learning, and AI development with strong focus on NLP and LLM applications
- Bachelor's/Master's or higher degree in Computer Science, Machine Learning, Statistics, or related technical field
- Proven track record of building and deploying production ML/AI systems from research to deployment
- Mastery of Python with strong software engineering fundamentals (OOP, design patterns, testing)
- Deep hands-on experience with LLM frameworks and APIs (OpenAI, Anthropic, or similar)
- Strong experience with at least one deep learning framework (PyTorch or TensorFlow)
- Proficiency with modern ML orchestration and agentic frameworks (LangGraph, CrewAI, LangChain, or similar)
- Solid understanding of NLP techniques: embeddings, information extraction, semantic search, classification
- Experience with diverse ML models: neural networks, transformers, SVM, Random Forest, clustering, Bayesian models
- Hands-on experience with advanced LLM features: tool calling, function calling, multi-turn conversations, structured outputs
- Strong knowledge of software development practices: version control (Git), testing (pytest)
- Experience with REST APIs, async programming, and building scalable backend services
- Familiarity with vector databases and embedding systems (Pinecone, Weaviate, FAISS, or similar)
- Knowledge of distributed computing, cloud platforms (AWS, GCP, or Azure), and containerization (Docker)
- Strong experimental design skills with ability to formulate hypotheses and conduct rigorous analysis
- Excellent problem-solving abilities and intellectual curiosity to stay current with AI research
- Self-motivated with proven ability to work collaboratively in multi-disciplinary teams

Bonus

- Experience with voice/speech models and real-time audio processing (OpenAI Realtime API or similar)
- Knowledge of Model Context Protocol (MCP) and emerging LLM standards
- Experience with MLOps tools and practices (model monitoring, versioning, A/B testing)
- Contributions to open-source ML/AI projects or published research papers
- Familiarity with streaming architectures and event-driven systems (Kafka, RabbitMQ)

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

## About Netomi

## Company Overview
- **One-liner**: Netomi is an enterprise agentic AI platform that powers autonomous customer experiences across chat, email, and voice for the world’s most demanding brands.
- **Entity Type**: Private (Series C, $110M raised in April 2026)
- **Headquarters**: San Mateo, California, United States
- **Founded**: 2016
- **Founders**: Puneet Mehta

## Core Business
- **Primary industry**: Enterprise AI / Customer Experience (CX) – Agentic AI platform
- **Target customers**: B2B, large enterprises (Fortune 500) with complex, high-volume customer service needs
- **Mission or purpose**: To be the intelligence layer for digital experiences, enabling brands to deliver effortless, outcome-driven customer journeys by embedding AI directly into every touchpoint.

## Products & Services
- **Netomi Agentic AI Platform**: A full-stack agentic AI solution that autonomously resolves customer issues across chat, email, and voice. It includes an Agentic Studio for building and governing AI agents, multi-layer observability, and deterministic controls. The platform moves AI upstream to engage customers before problems reach support.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Annual Revenue of $47.3M (latest fiscal year); Total Funding of $147.5M (across 5 rounds, including $110M Series C in April 2026)
- **Notable Investors/Partners**: WndrCo, Accenture Ventures, Adobe Ventures (Adobe features Netomi on its homepage); strategic integrations with Microsoft (Azure, Dynamics 365, Marketplace)
- **Growth Signals**: 23.2% year-over-year headcount growth (215 employees); 190% increase in job postings year-over-year; major customer wins include Delta Air Lines, United Airlines, MetLife, Paramount, DraftKings, NBA, Ingram Micro; deep integration with Adobe and Microsoft ecosystems.

## Competitive Advantages
- **Deterministic governance with agentic autonomy**: Unlike many AI platforms, Netomi combines autonomous decision-making with strict business rules, governance, and observability – critical for regulated industries.
- **Proven at massive scale**: Deployed in the highest-stakes environments (airlines, finance, sports) with full resolution and no escalation.
- **Embedded, not bolted-on**: AI is woven into the customer journey across all digital assets, enabling proactive and preemptive experiences rather than reactive support.
- **Strong partner ecosystem**: Backed by Adobe Ventures and Accenture, with deep integrations into Adobe Experience Cloud and Microsoft Azure/Dynamics 365.

## Strategic Focus
- **Current priorities**: Scaling enterprise adoption of agentic AI for CX; deepening integrations with Adobe and Microsoft; expanding into new verticals and geographies; building out the “Agentic Delivery” team to accelerate deployment.
- **Direction**: Moving from “AI as a feature” to “AI as the fabric of the experience” – embedding intelligence across every brand touchpoint.

## Why Work Here
- **Culture**: Strong culture score (4.7/5 on employer reviews), high career development rating (4.8/5). Emphasis on innovation, autonomy, and impact.
- **Remote/hybrid policy**: Remote-first for many roles; offices in San Mateo (HQ), Toronto, Canada; Gurugram, India. Open positions explicitly list “Remote – Full-time” for India and Canada.
- **Notable perks**: Opportunity to work on cutting-edge agentic AI at scale with top-tier enterprise clients; strong emphasis on learning (leadership from Adobe, Accenture); diverse, global team (57% India, 13% US, 11% Canada).
- **Engineering culture**: Heavy investment in AI, data science, and infrastructure (tech stack includes Python, Kotlin, TensorFlow, Snowflake, Kubernetes, etc.). Open roles in product engineering, data science, QA, DevOps, and agentic solutions.

## Sources
1. [netomi.com](https://www.netomi.com/) – Company homepage, product overview
2. [jobs.lever.co/netomi](https://jobs.lever.co/netomi) – Careers page, job listings, remote policy
3. [netomi.com/careers](https://www.netomi.com/careers) – Careers overview
4. [netomi.com/about](https://www.netomi.com/about) – About page, mission, investors
5. [linkedin.com/company/netomi](https://linkedin.com/company/netomi) – LinkedIn company page (employees, funding, customer logos, recent posts)
6. [craft.co/netomi](https://craft.co/netomi) – Company profile with revenue, funding, headcount, tech stack, reviews

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