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.

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