AWS AIML Engineer

Job description

Role Title AWS AIML Engineer Location : Hyderabad/Chennai/Bengaluru Experience 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.