Role & responsibilities

Key Responsibilities ? Design and implement data processing pipelines for various data sources ? Build and deploy ML models for business use cases (churn, forecasting, segmentation) ? Create AI agents using LangChain/LlamaIndex for specific business domains ? Implement RAG (Retrieval Augmented Generation) systems ? Optimize prompt engineering for different use cases ? Build automated data quality and monitoring systems ? Create reusable ML components for multiple client deployments

Preferred candidate profile

• Experience with AutoML tools (H2O.ai, AutoGluon)
• Knowledge of different industry domains (finance, retail, healthcare)
• Experience with real-time ML systems
• MLOps experience (MLflow, Weights & Biases)

Perks and benefits

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