AI-ML Engineer

Role Summary

As a Data Scientist at EVEOAI, you will design and manage the full data pipeline—from collection and preprocessing to analysis, model feature creation, and ETL automation. Your insights will directly impact AI accuracy, personalization, and business KPIs.

Core Responsibilities

Develop and manage end-to-end data pipelines using Azure Data Factory, Blob Storage, and Cosmos DB.

Collect, mine, and clean multi-modal data (images, text, user logs) for data-driven insights and model training.

Build and launch experiments: feature engineering, EDA, statistical modeling, and dashboard reporting.

Automate ETL processes; monitor and handle data drift, quality, and compliance (GDPR).

Collaborate with ML/NLP teams to productionize data features and monitor real-time pipelines.

Visualize results with Python (Matplotlib, Plotly), PowerBI, or similar tools.

Requirements

BTech/MSc/PhD (or equivalent) in Computer Science, Data Science, or related quantitative field.

Strong Python skills; advanced with Pandas, NumPy, SQL.

Experience with Azure data ecosystem: Data Factory, Cosmos DB, Blob Storage.

Proficient in building, scaling, and maintaining ETL/ELT pipelines.

Knowledge of model deployment and monitoring (MLflow, Airflow, Azure ML).

Bonus: Advanced experience in big data (PySpark, Databricks), streaming, or industry-leading ML competitions.