Description

You will own the full machine learning lifecycle, from model development to deployment, solving complex problems using Python and AWS.

This role is on-site.

Responsibilities

• Develop and implement machine learning models using scikit-learn, TensorFlow, or PyTorch.
• Query and manipulate large datasets using SQL to support data analysis.
• Apply software design principles, algorithms, and data structures to build scalable solutions.
• Integrate data engineering and DevOps practices into the development lifecycle.
• Manage code versions and collaborative development using Git within CI/CD pipelines.

Required Skills

• 5+ years of experience in Data Science and machine learning techniques.
• Proficiency in Python and machine learning libraries including scikit-learn, TensorFlow, or PyTorch.
• 2+ years of experience with AWS and technical Python development.
• Strong expertise in SQL for data querying and manipulation.
• Hands-on experience with Pandas and other data analysis tools.
• Working knowledge of data engineering practices and tools.
• Experience with Git, CI/CD pipelines, and DevOps practices.
• Knowledge of software design principles, algorithms, and data structures.

Preferred Skills

• Experience with Java or other programming languages and frameworks.

Key Skills

Education

Bachelor's degree in Computer Science