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
- Robust 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

📌 AI/ML Engineer – AWS ProServe (Bengaluru)
🏢 Innova ESI
📍 Bengaluru