AI at Cvent: Leading the Future

Are you ready to shape the future of work at the intersection of human expertise and AI innovation? At Cvent, we’re committed to continuous learning and adaptation—AI isn’t just a tool for us, it’s part of our DNA. We’re looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you’ll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation Throughout our interview process, you’ll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you’re excited to be part of a team that’s leading the way in AI-powered collaboration, we’d love to meet you.

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The Senior Data Scientist is a seasoned individual contributor who independently designs and delivers complex AI/ML solutions. Operating at Level 3, this role bridges the practitioner track and technical leadership — executing high-impact projects, guiding Data Scientists at Levels 1 and 2, and driving the quality of the team's analytical output. The ideal candidate combines deep machine learning expertise with strong communication skills and a passion for applying cutting-edge AI to real business problems

AI/ML Engineering & Delivery

• Design, develop, and deploy production-grade AI/ML solutions: RAG pipelines, NLQ systems, agentic AI workflows, and conversational search applications.
• Build and fine-tune LLM-powered applications using LangChain, LangGraph, LangSmith, and Langfuse; implement monitoring and evaluation pipelines.
• Develop supervised, unsupervised, and deep learning models across text, numeric, and multimodal data; deliver rigorous model evaluation and documentation.
• Write production-quality Python with full test coverage; follow CI/CD, Git workflows, and containerisation best practices.
• Build data products and dashboards on Streamlit and Sigma; integrate ML models with LLM capabilities and REST APIs. Technical Guidance & Collaboration
• Mentor Data Scientists at Levels 1 and 2 through code reviews, pair programming, and technical Q&A.
• Contribute to solution architecture discussions and flag technical risks early in the project lifecycle.
• Translate business requirements into analytical frameworks; present findings clearly to both technical and non-technical stakeholders.
• Maintain thorough documentation of methodologies, model decisions, and results to support team knowledge transfer.

Required

• Bachelor's in Computer Science, Mathematics, Statistics, or related field; Master's preferred.
• 4–6 years of hands-on data science / ML engineering experience, with at least 1 year working on LLMbased applications (RAG, NLQ, agentic workflows).
• Proficiency in Python (production-grade), SQL/Snowflake, Databricks, and AWS services.
• Hands-on experience with LangChain, LangGraph, or equivalent agentic frameworks; strong understanding of prompt engineering patterns.
• Solid grounding in ML fundamentals: regression, classification, clustering, tree-based methods, NLP, and deep learning.
• Experience with MLOps: model versioning, CI/CD, Docker, automated testing, and model monitoring.
• Strong written and verbal communication skills; able to present complex results to non-technical audiences.

Nice to Have

• Experience with vector databases (OpenSearch, Pinecone, ChromaDB) and embedding-based retrieval.
• Familiarity with model fine-tuning, LoRA/QLoRA, or RLHF techniques.
• Exposure to React/Node.js for full-stack data applications; experience with A/B testing frameworks.
• Knowledge of Sigma, Tableau, or similar BI/visualisation tools.