AWS AIML Engineer

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.