Description

Lead the technical execution and hands-on development of machine learning models and systems.

This role is hybrid.

Responsibilities

• Develop and implement machine learning models using Python-based frameworks.
• Manage the end-to-end machine learning lifecycle and experiment tracking.
• Build and maintain scalable ML pipelines for production use.
• Oversee the technical direction for AI/ML initiatives.

Required Skills

• 5+ years of professional experience in machine learning engineering.
• Expert-level proficiency in Python.
• Hands-on experience with TensorFlow.
• Hands-on experience with PyTorch.
• Experience with MLflow for experiment tracking.
• Strong understanding of ML frameworks including SciKit-learn and SciPy.
• Experience with Hugging Face libraries.
• Bachelor's degree or equivalent graduate-level education.

Preferred Skills

• Experience with Databricks.

Key Skills

Education

Any Graduate