Description

You build enterprise-grade AI solutions focused on privacy, security, and fairness.

Responsibilities

• Design and implement solutions using OpenShift, AWS services, SageMaker, S3, Lambda, and EC2 to configure LLMs.
• Test LLMs against standard evaluation criteria and deploy them for enterprise use with proper security, logging, and monitoring.
• Manage cloud resources to optimize performance and cost while architecting scalable distributed systems.
• Develop and maintain AI pipelines covering data preprocessing, feature extraction, model training, and evaluation.
• Contribute to establishing best practices and standards for generative AI development within the organization.

Required Skills

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

Key Skills

Education

Any Graduate