Description

You will design, build, and maintain scalable data pipelines and deploy AI-driven solutions to solve complex business problems.

This role is remote.

Responsibilities

• Build and maintain scalable ETL/ELT data pipelines for structured and unstructured data.
• Develop and deploy AI-driven solutions, including predictive analytics, recommendation systems, and automation tools.
• Build, train, and validate ML models using regression, classification, clustering, NLP, and time series techniques.
• Apply statistical analysis and ML techniques to derive insights from complex datasets.
• Deploy models into production using ML pipelines and MLOps tools.

Required Skills

• 10+ years of professional experience in data science or engineering.
• Expertise in building ML Pipelines.
• Experience with MLOps practices and model deployment.
• Proficiency in Natural Language Processing (NLP).
• Strong background in statistical analysis and machine learning techniques.
• Ability to handle and process structured and unstructured data sources.

Key Skills

Education

Any Graduate