Description

You design, build, and deploy machine learning models and algorithms at scale.

This role is hybrid.

Responsibilities

• Analyze large-scale datasets to extract actionable insights and drive decisions.
• Optimize model performance, ensuring scalability and reliability in production environments.
• Collaborate with data scientists and software engineers to integrate AI solutions into products.
• Experiment with algorithms and techniques to improve model accuracy and efficiency.
• Monitor deployed models, troubleshoot issues, and maintain system health.

Required Skills

• 6+ years of professional experience in ML engineering.
• Strong programming proficiency in Python, Java, or C++.
• Proven experience with TensorFlow and PyTorch frameworks.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Knowledge of Spark and Hadoop for distributed data processing.
• Understanding of statistical methods and data analysis.

Preferred Skills

• Experience with deep learning and neural networks.
• Knowledge of NLP, Computer Vision, or reinforcement learning.

Key Skills

Education

Bachelor's or Master's degrees