Description

You will build and refine machine learning models and data science frameworks.

Responsibilities

• Develop machine learning pipelines that incorporate both structured and unstructured data.
• Implement data science solutions across AWS, Google, or Azure cloud environments.
• Improve data science frameworks incrementally using software engineering principles and MLOps best practices.
• Automate workflows to enhance model deployment and maintenance.

Required Skills

• 5+ years of experience in statistical analysis and machine learning within the Python ecosystem.
• Proficiency with TensorFlow, PyTorch, pandas, numpy, and sklearn.
• 3+ years of experience building ML pipelines.
• 3+ years of experience working with web service APIs, relational databases, and NoSQL.
• 3+ years of experience implementing solutions on AWS, Google, or Azure.
• Experience handling diverse file types and various data sources.
• Strong understanding of software engineering principles and automation.
• Any Graduate degree.

Key Skills

Education

Any Graduate