Teams at ChiStats

Design and maintain scalable data pipelines, ETL/ELT workflows, data models, microservices, APIs, and data quality systems. Collaborate with ML, product, platform, and DevOps teams on training and inference pipelines, RAG components, vector storage, CI/CD, observability, and infrastructure as code. Mentor junior engineers, troubleshoot pipeline issues, and ensure reliable data delivery within SLAs.

Develop and deploy machine learning and deep learning solutions focused on NLP, text analytics, text generation, RAG, and agentic AI. Responsibilities include requirements gathering, exploratory analysis, feature engineering, model training and optimization, performance evaluation, stakeholder communication, and mentoring junior data scientists. The role requires hands-on experience with Python, NLP libraries, deep learning frameworks, transformer models, Hugging Face, and cloud deployment.

Analyze SEBI, AMFI, and related regulations; assess their impact on compliance processes; review AI-assisted workflows and outputs; identify gaps; support testing and validation; and provide compliance expertise to Product and Technology teams improving the ComplianceAssist platform.