AI / ML Engineer

Job Description

• Good understanding of Python programming and libraries commonly used in AI / MLsuch as NumPy, pandas, scikit-learn, Matplotlib and TensorFlow or PyTorch (basic levelis acceptable for freshers).
• Basic knowledge of machine learning concepts such as supervised and unsupervisedlearning, regression, classification, clustering and model evaluation metrics.
• Familiarity with data preprocessing, feature engineering and working withCSV/Excel/SQL data sources.
• Understanding of basic statistics and probability concepts used in model building.
• Knowledge of REST APIs and ability to integrate ML models with web or mobileapplications will be an added advantage.
• Awareness of concepts like NLP, computer vision, recommendation systems orgenerative AI will be considered a plus.

Qualifications

Skills Required

Interview Process

• resume screening Round   
• functional Round (Virtual)
• Technical  Interview (Live coding & problem-solving) Round (Virtual)
•  HR Round (Virtual)