Ai developer + AWS

Tata Consultancy Services; Ernakulam, Chennai District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Tata Consultancy Services in India seeks an experienced AI Developer with AWS expertise to design, develop, and deploy AI/ML-powered applications on AWS Cloud. The role focuses on Generative AI, LLMs, and cloud-native development, building scalable AI solutions and integrating models into business applications.

You will fine-tune, evaluate, and optimize models, develop data pipelines, deploy applications using AWS services, and collaborate with data scientists and engineers to monitor

Responsibilities

• Design, develop, and deploy AI/ML solutions on AWS.
• Build and integrate Generative AI and LLM-powered applications.
• Develop data pipelines for model training and inference.
• Fine-tune, evaluate, and optimize machine learning models.
• Implement RAG (Retrieval-Augmented Generation) architectures.
• Work with structured and unstructured data for AI use cases.
• Deploy AI applications using AWS cloud-native services.
• Collaborate with data scientists, engineers, and business stakeholders.
• Monitor model performance, scalability, and security.
• Stay updated with AI/ML advancements and AWS AI services.

Job description

Job Title: AI Developer (AWS)

Job Summary

We are seeking an experienced AI Developer with AWS expertise to design, develop, and deploy AI/ML-powered applications and solutions on AWS Cloud. The ideal candidate will have strong experience in Generative AI, Machine Learning, Large Language Models (LLMs), AWS AI/ML services, and cloud-native application development. The role involves building scalable AI solutions, integrating AI models into business applications, and optimizing model performance.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions on AWS.
• Build and integrate Generative AI and LLM-powered applications.
• Develop data pipelines for model training and inference.
• Fine-tune, evaluate, and optimize machine learning models.
• Implement RAG (Retrieval-Augmented Generation) architectures.
• Work with structured and unstructured data for AI use cases.
• Deploy AI applications using AWS cloud-native services.
• Collaborate with data scientists, engineers, and business stakeholders.
• Monitor model performance, scalability, and security.
• Stay updated with AI/ML advancements and AWS AI services.