Description

You design and deploy enterprise-grade AI solutions using OpenShift and AWS, ensuring privacy, security, and fairness. This role is on-site.

Responsibilities

• Architect and implement scalable distributed systems using AWS services including SageMaker, S3, Lambda, and EC2.
• Configure, test, and deploy Large Language Models (LLMs) against standard evaluation criteria with proper logging and monitoring.
• Develop and maintain AI pipelines for data preprocessing, feature extraction, model training, and evaluation.
• Manage cloud resources to optimize performance and cost while establishing best practices for generative AI development.

Required Skills

• 10+ years of extensive experience on AWS Cloud with full-stack engineering expertise.
• 8+ years of professional working experience in complex, matrixed organizations.
• Proficiency with AWS, Machine Learning, TensorFlow, PyTorch, Azure, Cloud Computing, OpenShift, Generative AI, and RESTful APIs.
• Experience implementing enterprise AI, computer vision, or natural language processing systems in production.
• Degree in Computer Science, Artificial Intelligence, or a related field.

Key Skills

Education

Any Graduate