Description

You will build and refine machine learning models and data science frameworks using software engineering principles.

Responsibilities

• Develop and improve data science frameworks by applying automation and MLOps best practices.
• Build ML pipelines that process both structured and unstructured data.
• Implement data science solutions across cloud environments like AWS, Google, or Azure.
• Integrate diverse data sources including web service APIs, relational databases, and NoSQL stores.

Required Skills

• 5+ years of experience in statistical analysis and machine learning within the Python ecosystem.
• Proficiency with TensorFlow, PyTorch, pandas, numpy, and scikit-learn.
• 3+ years of experience creating ML pipelines for structured and unstructured data.
• 3+ years of experience working with APIs, relational databases, and NoSQL.
• 3+ years of experience deploying solutions on AWS, Google Cloud, or Azure.
• Strong understanding of software engineering principles and automation.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate