Work on Analytical Solutions: implementation, testing, validation, reporting.
Extract data from sources using Python, PySpark, Hadoop, SQL for analysis.
Architect and create Agentic solutions for operational efficiency.
Create data pipelines, model scoring, and validate results with automated frameworks.
Work on MLOps/LLMOps to deploy, monitor, and validate AI/ML models.

🎯 Requirements

2-5 years experience in data analytics/science.
Strong Python, PySpark, SQL skills for production code.
Knowledge of LLM tools and techniques.
Statistical / Machine Learning techniques knowledge.
Exposure to LLM agents/tools; GenAI certifications a plus.
Ability to translate data into business insights.
Excellent verbal, written communication and presentation.

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