To Apply pls fill this form - https://forms.gle/4HJeyKEWmSq1Yw6W8
We are seeking a Data Science Intern with a keen interest in Generative AI to explore and implement state-of-the-art models. The ideal candidate is curious, creative, and proactive, with strong communication skills to simplify complex concepts. You'll experiment with prompt engineering, AI agents, and cutting-edge AI solutions in a collaborative environment, tackling real-world challenges.
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.
Collaborate with cross-functional teams to integrate AI models--such as those using transformer architectures and embedding techniques--into real-world applications.
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.
Exposure to innovative frameworks and tools (e.g., LangChain, LamaIndex, Crew AI) along with experience in building interactive applications using web frameworks like Streamlit or Flask.
2
: Data Science Intern - Machine Learning
Location: Delhi NCR (On Site)
Job Type: Internship (Paid)
Duration: 6 months
Pre Placement Offer (Based on performance)
To Apply pls fill this form - https://forms.gle/CTCShfNf9rsHpz2o9
We are seeking a Data Science Intern with a keen interest in Machine Learning with strong analytical thinking and a problem-solving mindset. The ideal candidate should be able to work efficiently with structured and unstructured data, demonstrating a willingness to learn new concepts and enhance their technical skills. Good communication skills are essential to effectively present findings and insights. We value self-motivation and the ability to work both independently and collaboratively in a dynamic environment while tackling real-world challenges.
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
: Data Science Intern - Computer Vision
Location: Delhi NCR (On Site)
Job Type: Internship (Paid)
Duration: 6 months
Pre Placement Offer (Based on performance)
To Apply pls fill this form- https://forms.gle/8UkEKBf1qo8rsJCUA
We are seeking a Data Science Intern with a keen interest in Generative AI to explore and implement state of the art models. The ideal candidate can break down complex tasks, optimize models, and adapt to a fast-paced environment. Strong communication skills are essential for collaboration with mentors and peers. A commitment to writing clean code and maintaining thorough documentation is highly valued.
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.
Explore transfer learning techniques to adapt pre-trained models for specific applications.
Collaborate with teams to integrate AI models into applications using Streamlit or Flask.
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 Types: Full-time, Internship
Contract length: 6 months
Pay: ?10,000.00 - ?15,000.00 per month
Work Location: In person
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