Analyze large volumes of structured and unstructured data to extract meaningful business insights.
Create dashboards, visualizations, and reports using tools like Power BI, Tableau, or Excel.
Support in identifying patterns, trends, and anomalies in data to support business decisions.
Assist in building, testing, and deploying machine learning models under supervision.
Collaborate on experiments, hypothesis testing, and performance evaluation of models.
Support in designing and building data pipelines and ETL processes.

Bachelor’s degree in Engineering, Computer Science, Data Science, Gen AI or related fields.
Strong foundation in Java, React, NodeJS, Python, SQL, and Excel.
Basic understanding of data structures, databases, and algorithms.
Exposure to pandas, NumPy, PySpark, scikit-learn, GenAI, Agentic AI or TensorFlow is a plus.
Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable.
Knowledge of version control (Git) is an advantage.

Hands-on experience across analytics, data science, and engineering tracks to solve critical Business problems.
Opportunity to work on live projects and scalable systems.
Mentorship from experienced data professionals.
Career pathways in analytics, data science, GenAI, Agentic AI or data engineering based on your interest and skills.

Junior AI Developer

Key skills