As a Data Scientist you will be responsible for independently executing and optimizing NLP experiments, including designing, building, and implementing advanced machine learning models. You will collaborate with cross-functional teams to integrate AI applications into existing systems, ensuring they deliver measurable business value. This is an exciting opportunity to contribute to the evolution of our AI capabilities and to make a significant impact on the products we deliver.\r\n

Key Responsibilities:\r\n

\u2022 Lead NLP experiments: Design, build, and implement state-of-the-art LLM\/NLP applications such as text classification, sentiment analysis, entity recognition, etc.
\u2022 Data Preparation: Collect, clean, and preprocess large datasets from diverse sources to ensure they are ready for analysis.
\u2022 Cross-functional Collaboration: Work closely with teams across the company to integrate AI applications into existing systems and platforms.
\u2022 Model Optimization: Continuously monitor and improve model performance, scalability, and reliability.
\u2022 Innovative Research: Independently research and experiment with new solutions, creatively pursuing different approaches when initial directions face obstacles.
\u2022 Business Impact: Explore innovative ways to drive business value through emerging technologies.
\u2022 Use Case Development: Design and implement compelling use cases that demonstrate the practical value of new technologies.
\u2022 Experiment Design: Contribute to the design of experiments and research agendas.\r\n

\u2022 Dashboards & Monitoring Tools: Develop tools to monitor and visualize research outputs and model performance.
Documentation & Communication: Document processes and communicate findings and recommendations effectively to both technical and non-technical audiences.\r\n

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TMGCT\r\n"