AI/ML Engineer (NLP/GenAi)

We're hiring (remote) AI/ML Engineers, NLP Engineers, and NLP Data Scientists for a Consumer Intelligence Platform Used by leading Global Brands Our AI-powered consumer intelligence platform transforms billions of data points (Google searches, social conversations, product reviews, and videos) into strategic insights for global brands such as Coca Cola, Unilever, and Bayer. The Role You'll build NLP models and GenAI solutions that extract meaning from massive consumer datasets. You'll develop sentiment analysis, emotion detection, and LLM-based applications that directly inform multi-million dollar marketing and product decisions for global brands. This is a remote position reporting to our CTO. What You'll Do • Develop and deploy NLP models for sentiment analysis, emotion detection, and text classification processing 1M+ documents daily • Design and implement LLM-based solutions using prompt engineering, RAG architectures, and fine-tuning approaches • Build evaluation frameworks to measure model accuracy, establishing baselines and tracking improvements • Collaborate with data engineers and AI engineers to productionize models via API endpoints and batch pipelines • Work with multi-language text data (English primary, with global market expansion) • Translate business requirements into technical model specifications • Document model architectures, performance metrics, and usage guidelines for cross-functional teams • Iterate on models based on client feedback and production performance data • Core Stack: Python, SQL • AI/ML: Sentiment analysis, emotion detection, LLMs, GenAI, prompt engineering • NLP Libraries: Modern frameworks (Hugging Face, transformers, Spacy, NLTK, LangChain, LLM APIs) • Cloud & Data: Azure ecosystem, Databricks, large-scale datasets • Products: brand measurement and product development innovation products Required Qualifications NLP Depth • 2+ years hands-on NLP: sentiment analysis, text classification, topic modeling, or similar • Production experience with Hugging Face Transformers + SpaCy, NLTK, or scikit-learn • At least one NLP model deployed to production or demonstrably used to inform business decisions LLM & GenAI Fluency • 1+ years working with LLMs: prompt engineering, fine-tuning, or RAG implementations • Practical experience with LangChain or equivalent LLM orchestration framwork Technical Foundation • Python: 2+ years in production ML environments; Git-based collaborative workflows Education • Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field Preferred Qualification • SQL • Experience with Azure cloud platform and/or Databricks • PySpark or distributed computing experience • Multi-language NLP experience • Consumer insights, CPG, or marketing analytics industry background • Emotion detection model development • MLOps experience (model monitoring, A/B testing, automated retraining) What We Offer • Long-term B2B opportunity with performance bonus opportunities • Fully remote (4 hours overlap with US Eastern time zone desired) • Environment: Greenfield development—modern tech stack, no legacy code constraints • Impact: Your models directly power products used by the world's top brands • Growth: Work with cutting-edge GenAI and LLM technologies • Team: Collaborate with senior data scientists, data engineers, and AI engineers in a flat structure