Specialized Analytics Senior Analyst
Citi (company site, opens in a new tab)8+ yrsPuneOn-siteDirect career pageEst. 30–55 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of AI-powered products including design, implementation, deployment, and support within the TTS Analytics team.
- Develop and maintain automated, scalable evaluation pipelines and frameworks for generative AI and LLMs, focusing on data curation, metric evaluations, and robust testing.
- Drive AI governance processes, author technical artifacts including model validation and risk assessments, and partner with cross-functional teams to integrate AI evaluation into production workflows.
Minimum Requirements
- 8+ years total experience with 5+ years in Data Science/ML engineering and 1–2 years specifically in Generative AI, LLMs, NLP, and evaluation frameworks.
- Strong proficiency in Python (async/concurrency, FastAPI/Pydantic, pytest) and data analysis tools like Pandas and NumPy.
- Hands-on experience with LLM tooling such as LangChain, LlamaIndex, Hugging Face, and expertise in quantitative AI evaluation metrics.
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related technical field (or equivalent practical experience).
Ideal Candidate Profile
- Experienced in delivered complex AI/ML projects particularly involving Generative AI and large language models within regulated or enterprise environments.
- Skilled at building scalable, maintainable AI evaluation pipelines and implementing AI governance and risk management frameworks.
- Able to collaborate effectively across engineering, platform, and business teams to embed AI capabilities and evaluation into CI/CD pipelines, ensuring operational robustness.