Position Name: Senior AI Cloud Engineer (AWS MLOps)

Location:Chennai, Bangalore, Gurugram

Experience: 6-8 years

About BinQle

BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.

Role Summary

Design, deploy, and operate scalable AI/ML and Generative AI platforms on AWS. Enable MLOps, LLMOps, and DevOps practices to support production-grade AI solutions across lending, risk, and customer journeys.

What Youll Do

- Operate and support production ML and GenAI workloads on AWS
- Monitor model performance, drift, reliability, and LLM outputs
- Build and manage end-to-end ML pipelines using Amazon SageMaker
- Implement CI/CD pipelines for ML and GenAI workloads
- Manage infrastructure using Terraform or AWS CloudFormation
- Deploy and manage Amazon Bedrock and RAG pipelines with vector databases
- Build data pipelines using AWS Glue, Lambda, and Step Functions
- Implement monitoring with CloudWatch, Prometheus, and Grafana
- Ensure secure AI deployments with IAM, KMS, and Secrets Manager




- Collaborate with AI Architects, Data Scientists, and Platform Engineers

What We re Looking For (Must-Haves):
- Solid experience with Amazon SageMaker and Amazon Bedrock
- Experience with Docker, Kubernetes (EKS), Terraform or CloudFormation
- Experience implementing ML pipelines, model registries, and CI/CD for ML
- Familiarity with OpenSearch, S3, Lambda, and API Gateway
- Python (primary), Bash scripting
- Experience building APIs (FastAPI preferred)
- Experience with CloudWatch, ELK stack, or Prometheus
- Understanding of AI system observability and logging

Good to Have (Optional - only if mentioned):
- Knowledge of prompt engineering workflows
- GenAI evaluation techniques
- Experience with Jenkins, GitHub Actions

Qualifications:

As per requirement

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior AI Cloud Engineer (AWS MLOps) (Bengaluru)
🏢 Proffer IT Consultancy
📍 Bengaluru