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NTT Data Jobs for Freshers 2024 Details :
NTT Data Off Campus for Freshers 2024 Eligibility Criteria :
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Job Summary:
We are looking for Freshers and Junior AI/ML Engineer with some hands-on experience to contribute to our AI/ML projects. This position involves working on real-world data problems and supporting more experienced engineers in model development and deployment.
Role Focus: Primarily support, with exposure to development tasks.
Typical Responsibilities:
- Data Preparation and Preprocessing: Freshers often assist with tasks like data cleaning, preprocessing, and simple feature engineering. This is foundational work that prepares data for model training.
- Model Training Support: They may help with training basic machine learning models and running experiments. They often work under the guidance of mid-level or senior engineers to ensure models are performing as expected.
- Documentation: Freshers frequently document procedures, datasets, and experiment results, which is essential for project continuity.
- Exploratory Data Analysis (EDA): Freshers help with analyzing data to understand trends, distributions, and correlations.
Tools and Libraries:
- Python: Used extensively for data analysis and working with machine learning libraries.
- Libraries: Freshers typically use libraries like Pandas and NumPy for data manipulation, Matplotlib and Seaborn for data visualization, and Scikit-Learn for basic machine learning tasks.
- SQL: Used for data extraction, filtering, and manipulation from databases.
- Jupyter Notebooks or Google Colab: For running experiments, visualizing data, and documenting code.
- AutoML Tools (Optional): Freshers might explore AutoML tools (e.g., Google AutoML or Azure ML Studio) to gain a basic understanding of model selection and performance tuning, though this is often a learning experience rather than a production tool.
Algorithms:
- Basic Algorithms Only: Well-known algorithms like linear regression, logistic regression, decision trees, and k-nearest neighbors (KNN), all available in Scikit-Learn.
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