Website:
nasugroup.com
Job details:
LOCATION: Bangalore, Chennai, Gurgaon
Role Overview
We are looking for 6+years AWS AI/ML & GenAI Platform Engineer to design, deploy, and operate scalable AI/ML and Generative AI platforms on AWS. The role will focus on MLOps, LLMOps, DevOps, cloud infrastructure, observability, and production AI operations supporting lending, risk, and customer journeys.
Key Responsibilities
- Operate and monitor production ML, LLM, RAG, and Agentic AI workloads on AWS.
- Build end-to-end ML pipelines using Amazon SageMaker and Model Registry.
- Implement MLOps/LLMOps, CI/CD, model monitoring, prompt management, and GenAI evaluation.
- Deploy GenAI solutions using Amazon Bedrock, RAG, and vector databases such as OpenSearch/Pinecone.
- Design cloud infrastructure using Terraform/CloudFormation, Docker, and Amazon EKS.
- Build pipelines using CodePipeline, CodeBuild, Jenkins, or GitHub Actions.
- Develop AI/data workflows using S3, Lambda, Glue, Step Functions, Redshift, and DynamoDB.
- Implement observability using CloudWatch, Prometheus, Grafana, and ELK.
- Ensure security, governance, reliability, SLA/SLO compliance, and cost optimization.
- Collaborate with AI Architects, Data Scientists, and Platform Engineers to create reusable MLOps/LLMOps frameworks.
Required Skills
- AWS: SageMaker, Bedrock, S3, Lambda, API Gateway, OpenSearch.
- MLOps/LLMOps: ML pipelines, Model Registry, CI/CD, model monitoring, prompt engineering, GenAI evaluation.
- DevOps: Docker, Kubernetes/EKS, Terraform/CloudFormation, GitHub Actions/Jenkins/CodePipeline.
- Programming: Strong Python and Bash; FastAPI preferred.
- Monitoring: CloudWatch, Prometheus, Grafana, ELK.
- Experience with RAG, LLMs, AI agents, and production AI systems.
- Banking, lending, risk, or other regulated-industry experience is a plus.
Join us to build secure, scalable, production-grade AI and GenAI platforms on AWS.
Click on Apply to know more.