Description

Key Skills: AWS Cloud, AI/ML, Redshift

Roles and Responsibilities:

• Design and develop AI/ML and Generative AI applications using AWS services.
• Build and integrate LLM-based applications using AWS Bedrock.
• Develop RAG (Retrieval-Augmented Generation) solutions.
• Work with LLMs, embeddings, vector databases, and prompt engineering.
• Develop AI applications and APIs using Python.
• Use Amazon SageMaker for machine learning development and deployment.
• Integrate AI models with enterprise applications and data sources.
• Develop data preprocessing and feature engineering pipelines.
• Implement model evaluation, monitoring, and optimization.
• Deploy scalable AI solutions using AWS cloud services.
• Work with REST APIs and third-party AI/ML services.
• Collaborate with Data Engineers, Data Scientists, Cloud Engineers, and business teams.
• Troubleshoot production issues and optimize AI applications for performance and scalability.

Skills Required:

Mandatory Skills

• AWS
• Python
• Generative AI / GenAI
• LLM
• AWS Bedrock
• Amazon SageMaker
• RAG
• Prompt Engineering
• REST APIs
• Machine Learning
• AI application development

Good to Have

• LangChain / LlamaIndex
• Vector Databases such as OpenSearch, Pinecone, or FAISS
• NLP
• Hugging Face
• OpenAI APIs
• Docker / Kubernetes
• AWS Lambda
• API Gateway
• CI/CD
• Terraform / CloudFormation
• MLOps
• Strong programming and problem-solving skills.
• Experience deploying AI solutions in production environments.
• Good understanding of cloud architecture and scalable AI application

Education: Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.

Key Skills

Education

Any Graduate