AI/ML Engineer (with AWS Cloud Skills)

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. 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 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. 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