Company: Evonence

Location & Experience :Pune & (0 to 2 years)

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:

Education:
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.

Apply Link: https://docs.google.com/forms/d/e/1FAIpQLSexgIfzd86Yv_DcFEzWc4l1wS1KESCBs9CWzNPEyhEM7ovAbg/viewform