Jr. AI/ML Python Engineer

3 days ago

Pune, Maharashtra, India Evonence Full time ₹ 42,00,000 - ₹ 85,00,000 per year

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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