Job Summary
You will design, implement, and deploy advanced deep learning models for NLP tasks, build foundation models on proprietary data, develop in-house AI capabilities including MLOps pipelines, and work on generative AI solutions to drive innovation.
Responsibilities
- Design, implement, and deploy deep learning models to solve specific problems such as semantic search
- Develop foundation AI models using proprietary datasets to enhance company capabilities
- Build and maintain MLOps pipelines to support scalable AI model deployment and monitoring
- Analyze and resolve diverse data science and engineering challenges to improve AI solutions
- Develop and implement generative AI solutions including Agentic AI, Retrieval-Augmented Generation (RAG), and Multi-Channel Processing (MCP)
Preferred competencies and qualifications
- Bachelor's degree in computer science, information technology, or a related technical field
- Demonstrated motivation to learn new technologies and methodologies
- Prior technical and practical knowledge in machine learning or AI applications
