Description

You will design, build, and maintain scalable ETL/ELT data pipelines, working with structured and unstructured data from multiple sources.

Responsibilities

• Build, train, and validate ML models (regression, classification, clustering, NLP, time series).
• Deploy models into production using ML pipelines and MLOps tools.
• Develop AI-driven solutions, including predictive analytics, recommendation systems, NLP, and automation tools.
• Apply statistical analysis, ML, and AI techniques to complex datasets to solve business problems and derive insights.

Required Skills

• 10+ years of professional experience.
• Expertise in ML Pipelines.
• Experience with MLOps practices.
• Proficiency in Natural Language Processing (NLP).
• Experience with statistical analysis and machine learning techniques.
• Ability to handle structured and unstructured data sources.
• Background in building ETL/ELT data pipelines.

Key Skills

Education

Any Graduate