Description

You will work on real-world data science and AI projects under senior guidance.

Responsibilities

• Build, test, and deploy machine learning models using Python libraries.
• Conduct data cleaning, preprocessing, and exploratory data analysis (EDA).
• Collaborate with data engineers, analysts, and product managers.
• Assist in automating workflows and building data pipelines.
• Translate business problems into analytical tasks and communicate findings.

Required Skills

• Proficiency in Python and its data science ecosystem (NumPy, Pandas).
• Experience with machine learning concepts (classification, regression, clustering).
• Hands-on experience with Scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of algorithms and ML fundamentals.
• Basic knowledge of SQL and data querying.
• Strong problem-solving and logical thinking abilities.
• Ability to communicate technical findings clearly.

Key Skills

Education

Any Graduate