Description

Design, build, and deploy machine learning models and data pipelines for production environments.

This role is hybrid.

Responsibilities

• Develop and iterate machine learning models using Python and SQL-based datasets.
• Perform statistical evaluation and data analysis to validate model assumptions and results.
• Design and implement data pipelines and analytics workflows on AWS.
• Create data visualizations and reporting artifacts to communicate findings to stakeholders.
• Collaborate with engineering teams to integrate models into production-ready workflows.

Required Skills

• 5-10 years of experience in Data Science or Machine Learning.
• Strong programming skills in Python.
• Strong knowledge of Machine Learning algorithms and model evaluation.
• Good understanding of Statistics and Data Analysis.
• Strong hands-on experience with SQL.
• Experience working with AWS data and analytics services.
• Experience in Data Visualization and reporting.

Preferred Skills

• Experience with TensorFlow, Keras, Docker, and Kubernetes.
• Knowledge of data pipelines, analytics workflows, and cloud-based ML deployment.

Key Skills

Education

Any Graduate