Description

You will design, implement, and maintain data models and pipelines leveraging AI, ML, and Gen AI for automation and insights.

This role is hybrid.

Responsibilities

• Design and implement conceptual, logical, and physical data models to support business requirements.
• Develop data synthesis processes to integrate structured and unstructured data sources into unified systems.
• Build and deploy AI/ML models for predictive analytics and pipeline optimization.
• Implement Gen AI frameworks to drive automation and insight generation.
• Develop scalable, secure APIs to facilitate seamless data exchange.

Required Skills

• 10+ years of experience in data engineering or related fields.
• Proficiency in SQL and Data Modeling.
• Hands-on experience with Databricks and PySpark for large-scale data processing.
• Experience with AI/ML model training and deployment.
• Practical application of Gen AI frameworks including OpenAI, Hugging Face, and LangChain.
• Ability to develop scalable APIs for data applications.
• Strong communication and collaboration skills to align data strategies with business objectives.

Preferred Skills

• Experience integrating complex data sources into unified architectures.

Key Skills

Education

Any Graduate