Tech Stack
Responsibilities
- Research and evaluate emerging NLP, machine learning, deep learning, and Generative AI techniques to build practical product capabilities.
- Design and deploy traditional NLP, statistical ML, and transformer-based LLM solutions (RAG, fine-tuning, vector search, prompting).
- Develop data pipelines, NLP preprocessing workflows, embeddings, and feature representations across structured and unstructured data.
- Design rigorous evaluation frameworks, benchmarks, statistical tests, and error analysis to optimize model performance and quality.
- Take AI solutions from prototype to production deployment and partner with engineering to ensure reliability, scalability, and monitoring.
Benefits
- Remote Work
Culture
Cross-Functional TeamsMentorship ProgramAgile/ScrumInclusive Hiring
Requirements
Required: Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, or a related quantitative field.
Preferred: Ph.D. preferred but not required.
Regions: Ca, Us
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About Conga
Industry: software
Size: large
Conga unifies commercial operations, pricing, quoting, contracting, and rebates to help companies run as connected, smarter businesses.
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