AWS AIML Engineer

Role Title AWS AIML Engineer Location : Hyderabad/Chennai/BengaluruExperience Range 2 to 5 years Competency Area AWS AI / ML / GenAI Role Summary The AWS AIML Engineer will develop predictive models, machine learning workflows, SageMaker / Bedrock solution components and production-ready AI services. Required Primary Skills SageMaker Bedrock Python Feature engineering Model evaluation ML algorithms Secondary Skills PyTorch / TensorFlow / scikit-learn MLOps Model monitoring CI/CD basics Technical Skills Amazon SageMaker, Bedrock, feature engineering and model deployment Python, scikit-learn, XGBoost, PyTorch or TensorFlow SQL, data preparation and model evaluation MLOps concepts, model monitoring and CI/CD basics Key Responsibilities Develop ML models for prediction, classification, recommendation and analytics use cases. Build feature engineering, training, evaluation and deployment workflows. Implement SageMaker and Bedrock-based components. Deploy AI models and support monitoring and improvement. Collaborate with data, AI architecture and application teams. Preferred Certifications AWS Certified AI Practitioner AWS Certified Machine Learning Engineer - Associate AWS Certified Solutions Architect - Associate Expected Deliverables ML models and training pipelines Model evaluation reports Deployment and monitoring artifacts AI solution handover documentation Qualification B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering or related discipline. Hands-on delivery experience aligned to the stated experience range and role scope. Good to have AWS certification or active AWS certification plan. Experience in reusable assets, accelerators, cloud competency building, customer workshops or proposal support.