Description

You will own the end-to-end machine learning lifecycle, from model selection to production deployment.

This role is on-site.

Responsibilities

• Propose and select appropriate AI/ML models including regression, classification, clustering, and deep learning.
• Curate, clean, and preprocess raw data to ensure high quality.
• Perform feature engineering and optimize models through hyperparameter tuning using grid or random search.
• Evaluate model performance using accuracy, precision, recall, and F1 score.
• Deploy models into production environments using Docker or cloud platforms.

Required Skills

• 5+ years of experience in data science or machine learning roles.
• Proficiency in Python, R, or Java.
• Strong SQL skills for data extraction and manipulation.
• Experience with data manipulation libraries such as Pandas and NumPy.
• Competency in data visualization tools like Matplotlib and Seaborn.
• Deep understanding of statistical concepts and machine learning algorithms.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Preferred Skills

• Experience with cloud platforms like AWS and Azure.

Key Skills

Education

Any Graduate