AI/ML Engineer (with AWS Cloud Skills)

Infosys Limited; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys Limited in Bengaluru seeks an AI/ML Engineer with AWS Cloud Skills to design, train, and deploy ML solutions for business use cases. The role emphasizes hands-on development and rapid delivery in a data-driven environment.

You will work with data, build GenAI/NLP models, and integrate models via AWS services, Docker deployments, and modern MLOps practices. Collaboration with analytics teams is essential.

Qualifications

• Bachelor of Engineering (BE) is required.
• 2-3 years hands-on AI/ML development experience.
• Experience with AWS cloud services and ML lifecycle.

Responsibilities

• Develop, train, evaluate, and deploy ML models for business use cases.
• Build predictive analytics, classification, regression, and NLP solutions.
• Work with structured and unstructured data for model development.
• Perform feature engineering, model tuning, and performance optimization.
• Develop applications using LLMs and Generative AI technologies.

Skills

Python programming

ML development

AWS Cloud

SageMaker

GenAI/LLM

Education

Bachelor of Engineering

Tools

Docker

LangChain

RAG

Vector databases

AWS Bedrock

Job description

BANGALORE, Infosys Limited AI/ML Engineer (with AWS Cloud Skills)

Job ID/Reference Code INFSYS-INDEED1-254313

Work Experience 2 - 3 Years

Job Title AI/ML Engineer (with AWS Cloud Skills)

Educational Requirements

Bachelor of Engineering

Service Line

Data & Analytics Unit

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.

Additional Responsibilities

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.

Technical and Professional Requirements

2-3 years of hands-on AI/ML development experienceStrong Python programming skillsExperience developing and deploying ML models on AWSUnderstanding of ML lifecycle from data preparation to deploymentExposure to SageMaker and AWS cloud servicesExperience with GenAI/LLM projects is highly preferred

Preferred Skills

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