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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy AI/ML solutions leveraging Large Language Models, focusing on Retrieval-Augmented Generation (RAG) systems.
Lead advanced prompt engineering and establish testing frameworks for LLM-based applications to ensure performance and safety.
Work with large datasets to build predictive and unsupervised machine learning models and translate AI/ML insights into actionable business outcomes.
Minimum Requirements
4-6 years of hands-on experience in AI, ML, or data science roles.
Strong foundation in classical ML algorithms (e.g., Gradient Boosting, XGBoost, Clustering) and practical applications.
Proven experience building end-to-end Retrieval-Augmented Generation (RAG) pipelines and advanced prompt engineering.
Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or equivalent quantitative field.
Ideal Candidate Profile
Experienced AI/ML professional with deep knowledge of Large Language Models and their application in business problem-solving.
Capable of independently designing complex AI systems integrating multiple ML techniques and ensuring model effectiveness and safety.
Strong technical expertise combined with ability to communicate complex AI concepts clearly to technical and non-technical stakeholders in cross-functional environments.