Ai Intern

**Job Description for AI Intern (Freshers)**:

- **Internship mode: WFO, NO STIPEND, Full-time.**:

- **Work location: Noida, Sector 16.**

**ROLE PURPOSE**:
Job Title: AI Engineer

**Job Description**:
We are seeking a proactive, self-driven AI Engineer with a strong research focus and hands-on

and unsupervised learning, generative AI, LLM training, and cutting-edge AI methodologies such as

Retrieval-Augmented Generation (RAG). This role will involve training, fine-tuning, and deploying

Key Responsibilities:

- Conduct advanced AI/ML research, focusing on supervised and unsupervised learning,

generative AI, and deep learning.
- Design, implement, and optimize AI-driven solutions, including Retrieval-Augmented

Generation (RAG), to improve model relevance and context.

like text classification, summarization, and language translation.

models with high scalability and performance.
- Develop and implement generative AI systems such as GANs (Generative Adversarial

Networks) and VAEs (Variational Autoencoders) for tasks like image generation and synthetic

data creation.
- Implement reinforcement learning algorithms for optimization and decision-making in

dynamic environments.
- Leverage unsupervised learning techniques (clustering, dimensionality reduction, anomaly

detection) to analyze and derive insights from unstructured data.

cross-validation, and model selection.

learning, transfer learning, and few-shot learning.
- Collaborate with teams to integrate AI models into production systems and deliver scalable

solutions.
- Design, analyze, and improve AI models' interpretability and explainability using tools like

SHAP, LIME, and attention mechanisms.

Key Skills and Qualifications:

- Python with hands-on experience in AI/ML libraries and frameworks such as TensorFlow,

PyTorch, Hugging Face, scikit-learn, Keras, and OpenCV.
- Strong understanding of AI/ML algorithms, including supervised and unsupervised learning,

reinforcement learning, deep learning, and generative models (GANs, VAEs).
- Understanding of training and fine-tuning Large Language Models (LLMs) for NLP tasks,

including transformers (BERT, GPT, T5, etc.).
- Familiarity with advanced AI methods like Retrieval-Augmented Generation (RAG), selfsupervised learning, and few-shot learning.
- Proficiency in designing and implementing machine learning pipelines, from data

preprocessing to model deployment.
- Experience with model optimization techniques, such as hyperparameter tuning, pruning,

quantization, and model compression.
- Knowledge of data augmentation techniques and synthetic data generation.
- Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes

for model deployment.
- Knowledge of version control systems such as Git and collaborative platforms like GitHub or

GitLab.
- Understanding of model performance evaluation metrics and techniques (accuracy, precision,

recall, F1 score, ROC AUC, etc.).
- Familiarity with data visualization libraries such as Matplotlib, Seaborn, and Plotly for

presenting model results and insights.

Preferred Qualifications:

- Degree in Computer Science, AI, Data Science, or a related field.
- Familiarity with AI ethics and fairness principles, including bias mitigation in AI models.
- Experience with Natural Language Processing (NLP) techniques, such as named entity

recognition (NER), sentiment analysis, and text summarization.

Why Join Us:

- Work on cutting-edge AI/ML projects, including the development of generative AI and

advanced NLP models.
- A dynamic and innovative work environment where research and development are at the

forefront of our mission.
- Opportunities for continuous learning, career advancement, and access to the latest AI/ML

technologies.
- Work in a collaborative setting with experts in the field, contributing to real-world AI

======================

Pay: From ₹5,000.00 per month

**Benefits**:

- Health insurance
- Paid time off

Schedule:

- Day shift

Supplemental Pay:

- Performance bonus
- Yearly bonus

Application Question(s):

- Familiarity with AI ethics and fairness principles, including bias mitigation in AI models?
- How much experience you have in working Experience with Natural Language Processing (NLP) techniques, such as named entity

recognition (NER), sentiment analysis, and text summarization
- Please mention your doj?

Work Location: In person

Expected Start Date: 15/03/2025