Online applications are invited for the Data Analytics Internship at GE Appliances, Bangalore for the year 2024. Online applications are open on the official website.
About GE Appliances
GE Appliances is an American home appliance manufacturer based in Louisville, Kentucky. It has been majority-owned by Chinese multinational home appliances company Haier since 2016. It is one of the largest appliance companies in the United States and manufactures appliances under several brands, including GE, GE Profile, Café, Monogram, Haier and Hotpoint (Americas only, European rights held by Whirlpool Corporation). The company also owns FirstBuild, a co-creation community and micro-factory on the University of Louisville’s campus in Louisville, Kentucky. Another FirstBuild location is in South Korea, and a FirstBuild location in India opened its doors in 2019.
Essential Responsibilities: Data Analytics Internship
- 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
Qualifications/Requirements
- B.Tech final year or B.Tech completed.
- Computer Science engineering
- Excellent analytical skills
- Excellent oral and written communication skills
- A passion for technology
- Good visualization of problem statements, drawings, and figures.
- Knowledge of Machine Learning algorithms and prior experience in R/Python will be an added advantage.
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.
- 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.
How to Apply?
Interested candidates can directly apply for the Data Analytics Internship through this link.
Stipend
₹2L-₹3L
Note: Stipend information is taken from here!
Location
Bangalore, Karantaka.
