Data Scientist - II

About the role

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, 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. 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.

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

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