Description

You will lead the design and implementation of enterprise-grade AI solutions on AWS.

This role is on-site.

Responsibilities

• Architect and develop scalable, distributed ML systems focusing on privacy, security, and fairness.
• Design and implement solutions leveraging OpenShift or AWS services for container orchestration.
• Configure LLMs using SageMaker, S3, Lambda, and EC2 services on AWS.
• Optimize existing generative AI models for production performance and efficiency.

Required Skills

• 5+ years of experience on AWS Cloud with full-stack engineering expertise.
• Proficiency in Python, C#, Machine Learning, PyTorch, and TensorFlow.
• Experience with Kubernetes, OpenShift, Natural Language Processing, and Generative AI.
• Proven track record implementing production AI, computer vision, or NLP enterprise systems.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Experience building scalable, distributed systems in complex, matrixed organizations.

Preferred Skills

• Exposure to self-supervised learning, transfer learning, or reinforcement learning.
• Experience with vector databases like Pinecone or frameworks like LangChain.

Key Skills

Education

Any Graduate