Python Intern Specializing in Ai
16 hours ago
**Position**: Python Intern specializing in AI
**Location**: Bhopal, Madhya Pradesh (Work from Office)
**Duration**: 3 to 6 Months
**Must-Have Skills**
Core Python Programming:
- Functions, loops, list comprehensions, classes
- Error handling (try-except), logging
- File I/O operations, working with JSON/CSV
Python Libraries for AI/ML:
- numpy, pandas - Data manipulation & analysis
- matplotlib, seaborn - Data visualization
- scikit-learn - Classical machine learning models
- Basic familiarity with tensorflow or pytorch
- Working knowledge of Openai / Transformers (bonus)
AI/ML Fundamentals:
- Supervised and unsupervised learning (e.g., regression, classification, clustering)
- Concepts of overfitting, underfitting, and bias-variance tradeoff
- Train-test split, cross-validation
- Evaluation metrics: accuracy, precision, recall, F1-score, confusion matrix
Data Preprocessing:
- Handling missing data, outliers
- Data normalization, encoding techniques
- Feature selection & dimensionality reduction (e.g., PCA)
Jupyter Notebook Proficiency:
- Writing clean, well-documented notebooks
- Using markdown for explanations and visualizing outputs
Version Control:
- Git basics (clone, commit, push, pull)
- Using GitHub/GitLab for code collaboration
**Good-to-Have Skills**
Deep Learning:
- Basic understanding of CNNs, RNNs, transformers
- Familiarity with keras or torch.nn for model building
Generative AI:
- Prompt engineering, working with LLM APIs like OpenAI or Hugging Face
- Experience with vector databases (Qdrant, FAISS)
NLP:
- Tokenization, stemming, lemmatization
- TF-IDF, Word2Vec, BERT basics
- Projects in sentiment analysis or text classification
Tools & Platforms:
- VS Code, JupyterLab
- Google Colab / Kaggle
- Docker (basic understanding)
Math for AI:
- Linear algebra, probability & statistics
- Basic understanding of gradients and calculus
**Soft Skills & Project Experience**
- Participation in mini-projects (e.g., spam detector, digit recognizer)
- Kaggle competition experience
- Ability to clearly explain model outputs and results
- Documenting findings and creating simple dashboards or reports.
**Job Types**: Full-time, Internship
Pay: From ₹5,000.00 per month
Schedule:
- Day shift
Work Location: In person
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