Description

Lead the design and implementation of large language models and neural network architectures while owning end-to-end delivery of AI-driven analytics and scalable microservices.

This role is on-site.

Responsibilities

• Design and manage complex data pipelines for AI analytics.
• Build and maintain microservices using Spring Boot and Spring integrations.
• Architect scalable solutions using RDBMS and NoSQL databases like MongoDB or DynamoDB.
• Oversee model deployment and integration within cloud-based AI platforms.
• Communicate technical requirements clearly through verbal and written documentation.

Required Skills

• 5+ years of experience in AI and software engineering.
• Deep understanding of large language models, neural networks, and data pipelines.
• Hands-on experience with Spring Boot and Spring integrations.
• Proficiency in Java/JEE, jQuery, JSON, Angular, and Kafka.
• Practical experience with Microservices architecture.
• Experience with RDBMS and NoSQL databases, specifically Mongo or DynamoDB.
• Working knowledge of GIT and Jenkins.
• Experience with cloud-based AI platforms such as AWS, Azure, or Google Cloud.

Preferred Skills

• Knowledge of AI ethics, governance frameworks, and DevOps for AI model deployment.
• Familiarity with advanced machine learning algorithms and data visualization tools.
• Background in artificial intelligence research or academia.

Key Skills

Education

Bachelor's degree in Computer Science