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!

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.

Research & Innovation - Stay current with the latest LLM research, architectures, and advancements in the field including real-time models and multimodal systems. 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. Rapidly prototype LLM-based applications using modern frameworks and orchestration tools.



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. Implement advanced LLM features, including tool calling, function calling, structured outputs, and multi-turn conversations. 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. Conduct A/B tests, performance benchmarking, and statistical analysis

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 contemporary ML orchestration and agentic frameworks (LangGraph, CrewAI, LangChain, or similar)
- 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
- 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

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.

📌 Data Scientist Ml Ai Python (Gurugram)
🏢 Netomi
📍 Gurugram