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Job Description & How to Apply Below
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 Num Py.
- 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:
Num Py, Pandas, Matplotlib, scikit-learn.
- Version Control:
Experience using Git and Git Hub/Git Lab/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 Tensor Flow 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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