Jr. Python, AI/ML developer

1. Develop, train, test, and optimize machine learning models for real-world applications.
2. Work with Python libraries such as NumPy, Pandas, and Scikit-learn for data preprocessing, exploratory analysis, and model building.
3. Apply ML techniques including regression, classification, and clustering based on project requirements.
4. Implement mathematical/statistical concepts (probability, linear algebra, and statistics) to improve model performance.
5. Collaborate with cross-functional teams to integrate ML solutions into products.
6. Use Git for version control and code collaboration.
7. Participate in model deployment pipelines, preferably using Flask/Django for API development.
8. Work with SQL databases for querying and managing datasets.
9. Explore and experiment with deep learning frameworks (TensorFlow/PyTorch) when required.
10. Stay updated with the latest advancements in AI/ML and contribute innovative ideas.

• Strong Python programming capabilities.
• Hands-on experience with ML libraries: NumPy, Pandas, Scikit-learn.
• Good understanding of machine learning algorithms and workflows.
• Strong mathematical foundation: Statistics, Linear Algebra, Probability.
• Experience with Git for version control.
• Basic knowledge of:

Deep Learning (TensorFlow / PyTorch)

Web frameworks (Flask / Django)

Databases (SQL)

Cloud platforms (preferred)