he Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:
Model Development: Assist in the development, fine-tuning, and deployment of Machine Learning and Deep Learning models. Fine tune large language models or build internal SLMs from scratch.
Gen AI / Agentic AI : Contribute to Design and Develop of POCs / full scale solutions on various automations in Operations including Conversational AI, Muti Agent Systems, real time evaluation for multiple services.
Data Pipelines: Implement and maintain AI pipelines and infrastructure to support model training and deployment.
RAG Frameworks : Customize and fine-tune existing / new RAG frameworks to meet project requirements.
Research and Experimentation: Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field.
Performance Optimization: Optimize and fine-tune models for performance, scalability, and robustness
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