LNT/E/1056528
Knowledge & Posting Location
ARTIFICIAL INTELLIGENCE
NEURAL NETWORKS
COMPUTER VISION
MACHINE LEARNING
NATURAL LANGUAGE PROCESSING
Minimum Qualification
BACHELOR OF TECHNOLOGY (BTECH)
MASTER OF TECHNOLOGY (MTECH)
1. Business use case analysis
2. Data science concepts
3. Understanding of ML algorithms and python programming
4. Working knowledge of Neural Networks
5. Python Programming: Basic syntax, data structures, OOP concepts.
Basic ML Knowledge: Understanding of classification, regression, basic metrics.
ML Libraries and Platforms: Familiarity with pandas, Keras, scikit-learn.
Supervised Learning Projects: Experience with MNIST classification, house price prediction.
Data Handling: Basic data preprocessing, annotation and cleaning techniques, basic understanding and querying using SQL.
Data Visualisation: Matplotlib
6. Hands-on implementation, training, validation and testing of models
Managing data ingestion and databases
Understand architecture of solution and implement machine learning projects