Description

You will analyze, clean, and prepare structured and unstructured data for AI/ML use cases, ensuring data quality and consistency. You will develop Python-based scripts and Jupyter notebooks for exploratory data analysis, feature engineering, and visualization to derive meaningful insights for business and technical stakeholders.

This role is on-site.

Responsibilities

• Perform data cleaning, transformation, and validation on large datasets using SQL and Big Data technologies.
• Develop Python analysis scripts and notebooks to support model evaluation and AI/ML workflows.
• Generate reports, dashboards, and visualizations to communicate trends and patterns.
• Collaborate with cross-functional teams to translate business requirements into analytical solutions.
• Apply Agile methodologies to contribute to continuous improvement initiatives.

Required Skills

• 5+ years of experience in Data Analysis and AI/ML-related workflows.
• Strong hands-on proficiency in Python, Pandas, NumPy, and SQL.
• Experience with Hadoop and handling large-scale datasets.
• Knowledge of AI/ML concepts, including supervised/unsupervised learning and model metrics.
• Familiarity with data cleaning, transformation, and validation techniques.

Preferred Skills

• Exposure to Apache Spark, Matplotlib, Seaborn, Jupyter Notebook, and Git.
• Experience with Azure, AWS, and Agile methodologies.

Key Skills

Education

Any Graduate