AI/ML Engineer – AWS ProServe

Job Role: AI/ML Engineer – AWS ProServe
Experience: 3–5 years
Location: Pan India
Work Mode: Hybrid / Client-facing
Role: AI/ML Engineer – AWS Professional Services
Key Skills:
AWS SageMaker, Bedrock, Q Business, Q Developer
Python, SQL
Machine Learning / Data Science
Generative AI, LLM, Prompt Engineering, RAG
TensorFlow, PyTorch, Scikit-learn, Hugging Face
AWS Glue, EMR, S3, Lambda, EC2, QuickSight
MLOps, CI/CD, Model Deployment & Monitoring
Docker, Kubernetes, CloudFormation/CDK
ETL/ELT, Data Engineering, Data Warehousing, Streaming
Responsibilities:
Design and implement end-to-end ML solutions on AWS.
Build GenAI applications using Amazon Bedrock and foundation models.
Develop scalable ML pipelines and MLOps workflows.
Work closely with AWS ProServe consultants and customer teams.
Conduct technical workshops, POCs and solution demonstrations.
Translate customer requirements into scalable technical solutions.
Build production-ready ML models and applications.
Support pre-sales activities and technical solution validation.
Mentor junior engineers and contribute to reusable solutions.
Must Have:
3–5 years hands-on AI/ML experience
Strong Python
AWS ML/AI services experience
GenAI / LLM / RAG experience
MLOps and deployment experience
Good customer-facing communication and presentation skills
Consulting / enterprise customer experience
Nice to Have:
AWS Certified Machine Learning – Specialty
AWS Solutions Architect certification
AWS Data Analytics certification
Java/Scala experience

Work arrangement
No