You will design and deploy Generative AI solutions, including conversational search interfaces, chatbots, text summarizers, and recommender engines.
Responsibilities
- Architect frameworks and infrastructure for GenAI products while optimizing model performance to meet product goals.
- Develop protocols for building fair, accountable, and transparent LLM-based applications, mitigating model bias and failure risks.
- Design and oversee the curation of high-quality datasets and implement robust feedback, monitoring, and safety pipelines.
- Build end-to-end data science pipelines encompassing feature generation, data visualization, and model evaluation.
- Collaborate with product managers and engineering leads to align on technical roadmaps and guide LLM implementation.
Required Skills
- 5+ years of experience in data science or machine learning roles.
- Expertise in Large Language Models (LLMs) and NLP techniques.
- Proficiency in Python for machine learning implementation.
- Working knowledge of Java.
- Experience with R.
- Ability to translate stakeholder needs into production-grade algorithms.
- Bachelor's degree.
Preferred Skills
- Experience contributing novel research to academic conferences or journals.