Implement, test, validate, document, monitor, and report analytics solutions.
Extract, analyze, and validate large datasets from multiple sources (Python, PySpark, SQL, Hadoop).
Perform model scoring, validation, impact analysis, investigations, and monitoring.
Build automation solutions and AI-driven tools to improve efficiency.
Use custom analytics frameworks for implementations, validations, monitoring, and reporting.
Support MLOps/LLMOps for deployment, observability, validation, and governance.

🎯 Requirements

3 to 6 years of relevant experience in Data Analytics / Data Science.
Strong programming in Python, PySpark, and SQL.
Knowledge of LLM tools, GenAI concepts, and modern AI techniques.
Solid knowledge of statistical and machine learning techniques.
Familiarity with AI/ML model monitoring, observability, and GenAI applications.
Excellent communication and presentation skills.

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