Description

Build and deploy machine learning models and data pipelines using Python and major cloud platforms.

This role is remote.

Responsibilities

• Develop and optimize machine learning models using TensorFlow, PyTorch, or Scikit-learn.
• Design and maintain data pipelines and APIs for model ingestion and serving.
• Deploy models to production environments on AWS, Azure, or GCP.
• Apply statistical methods and algorithmic principles to solve complex data problems.
• Collaborate on model evaluation and continuous improvement.

Required Skills

• 5+ years of professional experience with Python.
• Strong proficiency with ML frameworks: TensorFlow, PyTorch, or Scikit-learn.
• Experience deploying ML solutions on cloud platforms (AWS, Azure, or GCP).
• Solid understanding of algorithms, data structures, and statistics.
• Familiarity with data pipeline architecture and API development.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Preferred Skills

• Hands-on experience with NLP, Computer Vision, or Generative AI.

Key Skills

Education

Bachelor's or Master's degrees