Description

Develop and deploy scalable AI solutions, optimizing real-time machine learning models and MLOps pipelines.

Responsibilities

• Develop, optimize, and deploy machine learning models for real-time AI applications.
• Build and maintain Feature Stores, Model Stores, and MLOps Pipelines.
• Implement AI-driven decision systems and scalable ML solutions using distributed computing.
• Collaborate with data scientists and engineers to enhance ML workflows and data pipeline management.

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 and Unix scripting.
• Deployment experience on AWS and Kubernetes.
• B.S./M.S. in IT, Computer Science, or a related field.

Key Skills

Education

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