Must-Have: ML, Deep learning, NLP, (AWS or Azure or Google cloud), Python, Computer Vision.
Minimum of 4+ years of relevant experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)
Knowledge of LLM Models.
Extensive experience in handling Time-series data.
Experience in working on anomaly detection.
Experience in handling structured and unstructured data.
Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
Experience in developing and debugging in one or more of the languages Python.