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.

.