Requirements:
2-5 years of relevant experience in ML project in production, proven impact of ML projects
Advance proficiency in Python and SQL for data analysis
You are comfortable in a high paced environment and can respond to urgent (and at times ambiguous) requests
Fundamental grasp of Probability, Statistical inference

Deep understanding of classical ML models (XGBoost, Logistic Regression) etc.

Deep understanding of Deep Learning

Build and a serve a simple ML API

Effective communication of complex technical ideas.

Basics of prompt engineering

Knowledge of LLMs along with RAG, Function calling
Experience with Big Data frameworks like Spark

Basic Knowledge of ML OPS

Qualification:
● B. Tech or higher in Computer Science from a premier institute.