Understanding of ML algorithms and Python programming
Working knowledge of Neural Networks
Python Programming: Basic syntax, data structures, OOP concepts.
Basic ML Knowledge: Understanding of classification, regression, and basic metrics.
ML Libraries and Platforms: Familiarity with pandas, Keras, and sci-kit-learn.
Supervised Learning Projects: Experience with MNIST classification, and house price prediction.
Data Handling: Basic data preprocessing, annotation and cleaning techniques, basic understanding, and querying using SQL.
Data Visualisation: Matplotlib
Hands-on implementation, training, validation, and testing of models
Managing data ingestion and databases
Understand the architecture of solutions and implement machine learning projects
About you
Knowledge & Posting Location
Artificial Intelligence
Neural Networks
Computer Vision
Machine Learning
Natural Language Processing
Minimum Qualification
Master of Technology (MTECH)
Bachelor of Technology (BTECH)
Benefits
Some of the benefits that you will enjoy in working at Larsen & Toubro:
Health Care & Insurance
Dental Insurance
Vision Insurance
Performance Bonus
Maternity & Paternity Leave
Work From Home
Sick Leave
Vacation & Paid Time Off
Free Lunch or Snacks
Gym Membership
Employee Discount
Training & development
A continuous learning and development culture exists through structured core developmental programmes, conducted by reputed institutions for employees to develop superior management skills and capabilities. A host of technical and behavioural programmes are also undertaken to address employees' specific training and developmental needs.
Career progression
The Leadership Development Academy offers world-class facilities to deliver learning & development programmes to employees throughout the year. This recognizes that learning happens during the dialectic of a classroom, in the private intensity of a library, or the quite repose of a recreation room. This integrated facility provides it all. This "temple of learning" offers a platform to interact across geographies in the development of future leaders and global corporate entrepreneurs.
Sources
The following sources were used in researching this page: