Must Have Technical/Functional Skills
Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on
AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture
Python, PySpark, SQL
Machine Learning, Deep Learning, NLP
Generative AI, LLMs, Prompt Engineering
Amazon Bedrock, AWS SageMaker
RAG (Retrieval Augmented Generation), AI Agents
LangChain, LangGraph, LlamaIndex
AWS Services: S3, Lambda, IAM, RDS, CloudWatch
MLOps, MLflow, CI/CD Pipelines
Docker, Kubernetes, Terraform
REST APIs, FastAPI, Model Deployment & Monitoring
Roles & Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3.
Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems.
Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement.
Collaborate with business, data engineering, and cloud teams to deliver secure, production-ready AI solutions while ensuring performance, governance, and cost optimization.
Generic Managerial Skills, If any
Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
Effective communication with business and technical stakeholders
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