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.

Positive to have
AWS certification or active AWS certification plan.
Experience in reusable assets, accelerators, cloud competency building, customer workshops or proposal support.

📌 Aws Aiml Engineer Bengaluru (India)
🏢 Sonata Software
📍 India