Description

Design, build, and optimize machine learning models and scalable data pipelines for production.

This role is on-site.

Responsibilities

• Design, build, and train machine learning and deep learning models for real-world applications.
• Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion.
• Run experiments, analyze performance metrics (accuracy, recall, AUC), and optimize models for performance and scalability.

Required Skills

• Strong proficiency in Python, including PySpark, with a solid understanding of software architecture principles.
• Hands-on experience with machine learning libraries such as Scikit-learn.
• Strong foundation in statistics, probability, and algorithm design.
• Experience with SQL, data modeling, and building data pipelines.
• 5+ years of professional experience.
• Bachelor's degree in a related field.

Preferred Skills

• Experience deploying models using tools like Docker (MLOps).
• Familiarity with deploying and working with local large language models (LLMs).

Key Skills

Education

Bachelor's degree