Senior Specialist, Data Science & Analytics II
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About the Role
Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI.
Key Skills for This Role
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Overview
Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI implementation.
Key Accountabilities Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).
Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
Perform feature engineering, model tuning, and performance optimization.
Prepare, cleanse, and transform structured and unstructured datasets.
Support deployment of ML and GenAI models using MLOps and LLMOps practices.
Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.
Integrate AI solutions via APIs into enterprise systems.
Document model design, assumptions, risks, and validation results.
Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.
Support monitoring, retraining, and lifecycle management of deployed models.
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