Jr. Ai / Ml Python Engineer

Experience Level - 0 to 2 Years

Location - Pune

Role Summary

The Entry-Level AI / ML Python Developer will assist the Senior Data Science and Engineering teams in building, training, and deploying robust machine learning models and data-driven solutions. This role is ideal for a recent graduate with strong foundational knowledge in Python programming, core ML algorithms, and a passion for data analysis and innovation.

Key Responsibilities

• Data Pipeline Assistance : Help with data collection, cleaning, preprocessing, and feature engineering using libraries like Pandas and NumPy .
• Model Implementation : Write, test, and maintain clean and efficient Python code for implementing and experimenting with various machine learning models (e.G., regression, classification, clustering).
• Code Development : Contribute to the development of production-ready code, focusing on code quality, modularity, and adherence to company standards.
• Experimentation : Run and document model training experiments, analyze results, and generate performance metrics.
• Tooling : Utilize version control systems, primarily Git , to manage code repositories and collaborate effectively.
• Learning & Research : Proactively learn new algorithms, tools, and best practices in the AI / ML space to support team objectives.
• Required Qualifications & Skills
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a closely related quantitative field.
• Technical Skills (Must-Have)
• Programming : Strong proficiency in Python and familiarity with Object-Oriented Programming (OOP) concepts.
• ML Fundamentals : Solid understanding of core Machine Learning concepts and algorithms (e.G., Linear / Logistic Regression, Decision Trees, K-Means).
• Libraries : Hands-on experience with fundamental Python libraries : NumPy, Pandas, Matplotlib, scikit-learn.
• Version Control : Experience using Git and GitHub / GitLab / Bitbucket.
• Mathematics : Foundational knowledge of Statistics, Linear Algebra, and Calculus relevant to machine learning.
• Preferred Skills (Nice-to-Have)
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Basic understanding of cloud platforms (AWS, Azure, or GCP) and related services.
• Experience with query languages like SQL.
• Completed personal projects or successful participation in hackathons / Kaggle competitions demonstrating practical ML application.