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Salary
≈ $12k – $32k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 1, 2026. Infosys scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Infosys Limited is an Indian multinational information technology company providing business consulting, information technology, and outsourcing services. Founded in 1981 by N. R. Narayana Murthy and six engineers in Pune, India, the company is headquartered in Bengaluru and stands as one of India's largest IT services companies.

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 requirements

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 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.

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

Education

Bachelor of Engineering

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