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)
🏢 Sonata Software
📍 Bengaluru