GE Appliances Recruiting Freshers 2024 | Intern - Data Analytics | BE/BTech

GE Appliances Recruiting Freshers 2024 Details:

Experience: Freshers

Post Name: Intern – Data Analytics

Qualification: B.Tech final year or B.Tech completed (Computer Science engineering)

Batch: 2023/ 2024/ 2025

Salary: Upto Rs. 9 LPA (expected)

Last Date to apply: As soon as possible  

Job Locations: Bangalore

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Job Description

Essential Responsibilities 

Understand Data Automation Requirements: Quickly assimilate and comprehend data automation requirements to ensure alignment with project goals and objectives.

Develop and Maintain Automation Scripts: Create and maintain Python scripts to automate data collection, cleaning, and processing tasks, ensuring efficiency and accuracy.

Convert R Scripts to Python: Analyze existing automation scripts written in R and convert them to Python, optimizing for performance and maintainability.

Leverage Advanced AI and NLP Technologies: Utilize Large Language Models (LLMs), OpenAI (Generative AI) API, and advanced Natural Language Processing (NLP) techniques to enhance data relevancy and insights. Create User Interface to retrieve information from databases

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What You’ll Bring to Our Team

Qualifications/ Requirements 

• B.Tech final year or B.Tech completed.
• Computer Science engineering

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Technical Skills 

• Python Programming: Advanced proficiency in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, NLTK or SpaCy, OpenAI, and Sentence-transformers. Skilled in implementing machine learning algorithms such as Gradient Boosting, ADASYN, and cosine similarity.
• Large Language Models (LLMs): Expertise in implementing, leveraging, and comparing BERT and other LLMs for advanced NLP tasks, with a thorough understanding of their advantages and limitations.
• Natural Language Processing (NLP): Proficient in utilizing advanced NLP techniques and integrating them into Python scripts for comprehensive data analysis.
• Full-Stack Development: Proficiency in both front-end (HTML, CSS, JavaScript) and back-end (Python, Flask, Django) languages for developing user-friendly and interactive scripts and applications.
• R Programming: Advanced proficiency in the R programming language for statistical analysis and data visualization.
• SQL Databases: Strong understanding of relational databases and SQL for efficient data storage and retrieval.
• NoSQL Databases: Familiarity with NoSQL databases such as MongoDB for handling unstructured data.

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• Jupyter Notebooks: Proficiency in using Jupyter Notebooks for interactive data analysis, visualization, and model development.
• Integrated Development Environments (IDEs): Experience with IDEs like PyCharm and VS Code for efficient coding, debugging, and project management.
• Prompt Engineering: Skilled in designing and optimizing prompts for various NLP tasks and applications.
• Version Control: Basic knowledge of version control systems like Git for effective code management and collaboration.
• Data Security: Understanding of data security and cybersecurity policies for secure data handling and compliance.
• OpenAI API: Experience in using the OpenAI API and its applications for advanced AI and NLP tasks.
• MS Office Suite: Proficient in handling MS Office Suite, particularly Excel, for data manipulation and reporting.
• Passion for Data Science: Keen interest in data science, with a commitment to continuous learning and professional development.

Step-by-Step Guide: How to Become a Data Scientist?

How to Apply?

• Interested candidates meeting the eligibility criteria have to apply at the following link:

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