Description

You will lead the development and deployment of machine learning solutions.

Responsibilities

• Develop and implement ML models using TensorFlow and related ecosystems.
• Manage data preprocessing and feature engineering pipelines.
• Evaluate and iterate on model performance using appropriate metrics.
• Deploy ML models onto cloud infrastructure.

Required Skills

• 5+ years of professional experience in ML engineering.
• Strong expertise in TensorFlow.
• Proficiency in Python, NumPy, Pandas, and Scikit-learn.
• Solid understanding of supervised and unsupervised machine learning algorithms.
• Experience with cloud platforms, specifically Google Cloud or AWS.
• Ability to perform rigorous model evaluation.

Key Skills

Education

Any Gradute