AI/ML Engineer (with AWS Cloud Skills)

Infosys; Bengaluru; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Infosys is seeking an AI/ML Engineer in Bengaluru with 2-3 years of hands-on experience in designing, developing, and deploying ML and Generative AI solutions on AWS. You will work with Python, ML frameworks, and MLOps to build scalable AI applications.

Responsibilities include model development, evaluation, deployment, and building RAG pipelines. Familiarity with SageMaker, AWS Bedrock, LangChain, and OpenAI APIs is valued. Bachelor of Engineering required.

Qualifications

• 2-3 years of hands-on AI/ML development experience.
• Strong Python programming skills.
• Experience developing and deploying ML models on AWS.
• Understanding of ML lifecycle from data preparation to deployment.
• Exposure to SageMaker and AWS cloud services.
• Experience with GenAI/LLM projects is highly preferred.

Responsibilities

• Develop, train, evaluate, and deploy Machine Learning models for business use cases.
• Build predictive analytics, classification, regression, recommendation, and NLP solutions.
• Work with structured and unstructured datasets for model development.
• Perform feature engineering, model tuning, and performance optimization.
• Develop applications using LLMs and Generative AI technologies.
• Build Retrieval-Augmented Generation (RAG) pipelines.
• Integrate foundation models through AWS Bedrock or OpenAI APIs.
• Implement prompt engineering and LLM evaluation techniques.

Skills

Python

AI/ML development

GenAI/LLM

SageMaker

AWS Bedrock

LangChain

RAG

Vector Databases

Education

Bachelor of Engineering

Tools

Docker

AWS Bedrock

SageMaker

OpenAI APIs

Job description

Job Summary

We are looking for a passionate AI/ML Engineer with 2-3 years of experience in designing, developing, and deploying Machine Learning and Generative AI solutions on AWS Cloud. The ideal candidate should have hands-on experience with Python, ML frameworks, cloud-native AI services, and MLOps practices to build scalable and production-ready AI applications.

Responsibilities

• Develop, train, evaluate, and deploy Machine Learning models for business use cases.
• Build predictive analytics, classification, regression, recommendation, and NLP solutions.
• Work with structured and unstructured datasets for model development.
• Perform feature engineering, model tuning, and performance optimization.
• Develop applications using LLMs and Generative AI technologies.
• Build Retrieval-Augmented Generation (RAG) pipelines.
• Integrate foundation models through AWS Bedrock or OpenAI APIs.
• Implement prompt engineering and LLM evaluation techniques.

Technical Requirement

• 2-3 years of hands-on AI/ML development experience
• Strong Python programming skills
• Experience developing and deploying ML models on AWS
• Understanding of ML lifecycle from data preparation to deployment
• Exposure to SageMaker and AWS cloud services
• Experience with GenAI/LLM projects is highly preferred

Additional Responsibility

• Experience with AWS Bedrock and Foundation Models.
• Exposure to LangChain, RAG, and Vector Databases.
• Knowledge of MLOps practices and model monitoring.
• Familiarity with Docker and containerized deployments.
• Certification in AWS Cloud or AWS Machine Learning is a plus.

Educational Requirement

• Bachelor of Engineering

Preferred Skills

• Technology->AI-Generative AI->Generative AI - Basic
• Technology->Cloud Platform->AWS Data Analytics
• Technology->AI-Data science->Machine Learning
• Technology->AI-Generative AI->Artificial Intelligence - BASIC

Service Line

• Data Analytics Unit