Description

You will develop, optimize, and deploy scalable machine learning models and MLOps pipelines for real-time AI applications.

This role is on-site.

Responsibilities

• Build and maintain Feature Stores, Model Stores, and MLOps Pipelines.
• Implement AI-driven decision systems using distributed computing.
• Optimize real-time machine learning models for production environments.
• Collaborate with data scientists and engineers to enhance ML workflows.
• Manage and improve data pipeline efficiency and scalability.

Required Skills

• 2+ years of experience in machine learning engineering or related roles.
• Strong expertise in TensorFlow and PyTorch for model development.
• Proficiency in Python, PySpark, and Java for scalable data processing.
• Hands-on experience with Kafka for streaming data processing.
• Deployment experience on AWS and Kubernetes.
• Experience with Unix scripting for automation and system management.

Preferred Skills

• B.S./M.S. in IT, Computer Science, or a related field.

Key Skills

Education

B.S./M.S. in IT, Computer Science,