Data Scientist

Overview

For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills

• Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium)
• SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping.
• ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc.
• Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix

2. AI/ML Frameworks

• Scikit-learn, TensorFlow or PyTorch
• Keras
• Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning

3. Practical Experience

• Building and deploying end-to-end ML pipelines
• Experience with REST APIs or Flask/FastAPI-based model deployment
• Version control with Git

4. Data Handling

• Data preprocessing, feature engineering
• Experience with structured, semi-structured data and unstructured data
• Data visualization (Power BI, Tableau, or Python libs)

5. Cloud & DevOps Basics

• Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent)
• Docker
• CI/CD understanding

6. Soft Skills

• Good documentation practices
• Able to explain ML models to non-tech stakeholders
• Cross-functional collaboration experience

Job Types: Full-time, Permanent

Pay: ₹450,000.00 - ₹650,000.00 per year

Work Location: In person