Trainee – Python & AIML

Job Overview

Job Description:

Responsibilities

Learn and work on Python‑based application development, contributing to coding, debugging, and enhancing application features.

Support data cleaning, preprocessing, transformation, and feature engineering activities for various datasets.

Participate in model evaluation, validation, and optimization tasks to improve accuracy and performance.

Understand and implement basic statistical and machine learning algorithms across regression, classification, and clustering problems.

Work on building Generative AI and Agentic AI applications, exploring modern AI frameworks and techniques.

Collaborate with team members to integrate machine learning models into end‑to‑end applications or workflows.

Document code, experiments, model results, and project workflows clearly for future reference.

Required Skills

Strong understanding of Python fundamentals and programming concepts.

Basic knowledge of NumPy, Pandas, and visualization libraries like Matplotlib/Seaborn.

Understanding of ML algorithms such as Regression, Classification, and Clustering.

Familiarity with Scikit‑learn; exposure to TensorFlow or PyTorch is an added advantage.

Good analytical and problem‑solving skills.

Eagerness to learn modern AI/ML technologies and frameworks.

Nice‑to‑Have

Internship or academic project in AI/ML/Data Science.

Knowledge of SQL or any relational database.

Understanding of REST APIs or basic model deployment concepts.