Artificial Intelligence and Machine Learning Analyst

The Spec Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

Key Responsibilities –

• Model Development: Assist in the development, fine-tuning, and deployment of generative AI models and large language models.

• Data Preparation: Clean, preprocess, and organize large datasets for training and evaluation purposes.

• RAG Frameworks – Customize and fine-tune existing / new RAG frameworks to meet project requirements.

• Research and Experimentation: Conduct experiments to test and validate model performance and keep up to date with the latest advancements in the field of AI and NLP.

• Performance Optimization: Implement techniques to improve model efficiency, accuracy, and scalability.

• Collaborative Projects: Work with cross-functional teams to integrate AI models into various applications and services.

• Documentation: Maintain clear and comprehensive documentation of model architectures, processes, and findings

Qualifications –

• Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field. A master's degree is a plus.