Data Science Intern

1
**Job Description: Data Science Intern - Generative AI**
**Location: Delhi NCR (On Site)**
**Paid Internship**

**Key Responsibilities**:

- Develop and deploy cutting-edge generative AI solutions by leveraging advanced deep learning (DL) and natural language processing (NLP) techniques.
- Construct robust data pipelines to preprocess and analyze large datasets, turning raw data into actionable insights for innovative projects.

**Required Skill**
- Pursuing degree/Graduate in Data Science, Computer Science, Mathematics, or a related field.
- Proficiency in Python for data manipulation, analysis, and visualization, supported by solid SQL expertise.
- Demonstrable experience in DL and NLP (Natural Language Processing), including text preprocessing and modern architectures like transformers.
- Familiarity with advanced AI techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and LLM (Large Language Models) for creating intelligent AI agents.

**Job Type: Internship**
**Duration: 3-6 months**
**Pre Placement Offer (Based on performance)**

2

**Job Description: Data Science Intern - Machine Learning**
**Location: Delhi NCR (On Site)**
**Paid Internship**

**Key Responsibilities**:

- Work on classical machine learning projects involving regression, classification, and time series forecasting.
- Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
- Develop and fine-tune ML models, evaluate performance, and optimize for better accuracy.
- Create data visualizations to communicate insights effectively.
- Assist in deploying ML models using Streamlit/Flask (if applicable).
- Collaborate with senior data scientists and contribute to real-world projects.

**Required Skill**
- Pursuing degree/Graduate in Data Science, Computer Science, Mathematics, or a related field.
- Python: Proficiency in data handling with NumPy and Pandas, and visualization using Matplotlib and Seaborn.
- Statistics: Understanding of descriptive/inferential statistics, probability distributions, and hypothesis testing.
- Machine Learning: Experience implementing supervised (regression, classification) and unsupervised algorithms, along with time series analysis.
- Familiarity with Streamlit/Flask for lightweight model deployment.

3
**Job Type: Internship**
**Duration: 3-6 months**
**Pre Placement Offer (Based on performance)**
**Paid Internship**

**Job Description: Data Science Intern - Computer Vision**
**Location: Delhi NCR (On Site)**

**Key Responsibilities**:

- Build, fine-tune, and optimize computer vision models for object detection, segmentation, and OCR using TensorFlow/PyTorch.
- Implement data preprocessing pipelines with OpenCV and NumPy to improve model performance.
- Participate in end-to-end projects, from prototyping to deploying solutions via Docker.
- Conduct experiments to benchmark model performance and document insights.
- Contribute to version-controlled codebases using Git for clean and efficient development.
- Stay updated on deep learning trends like YOLO advancements and transformer-based architectures.

**Required Skill**
- Proficiency in Python with experience in OpenCV, NumPy, and deep learning frameworks like TensorFlow/PyTorch.
- Basic understanding of linear algebra concepts, including vectors and matrices, for image transformations.
- Exposure to deep learning architectures, especially CNNs, for image classification.
- Familiarity with advanced CV techniques like Transfer Learning, YOLO, OCR, or segmentation is a plus.
- Experience with model deployment, lightweight web apps (Streamlit/Flask), or Docker is a plus.
- Basic knowledge of version control tools like Git is beneficial.
- A portfolio showcasing computer vision projects or participation in open-source/hackathons is an advantage.

**Job Type: Internship**
**Duration: 3-6 months**
**Pre Placement Offer (Based on performance)**
**Paid Internship**

**Job Types**: Full-time, Internship
Contract length: 3 months

Schedule:

- Day shift

Work Location: In person