𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐀𝐖𝐒, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐋𝐋𝐌)

𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐀𝐖𝐒, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐑𝐀𝐆, 𝐋𝐋𝐌)

Location: Hyderabad

Experience: 5 –10 Years

Domain Preference: Healthcare

Preferred : Immediate Joiners

Apply Now :

careers@sidinformation.com We are looking for a highly skilled 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with strong hands-on experience in AWS ML stack, Generative AI (LLMs, RAG), SageMaker and Bedrock. You will work on designing, developing, and deploying scalable AI/ML solutions using AWS services for enterprise-grade applications — including Retrieval-Augmented Generation (RAG) architectures powered by Large Language Models (LLMs). 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: • Development & deploy ML pipelines using SageMaker, Bedrock, Lambda, Step Functions • Develop LLM-based RAG solutions with Amazon Bedrock, JumpStart, & custom fine-tuned models • Integrate vector databases like Pinecone, Weaviate, Amazon OpenSearch • Implement full ML lifecycle with CI/CD, monitoring, and MLOps best practices • Ensure observability using CloudWatch, Prometheus, Grafana • Collaborate on AI-enabled applications (chatbots, summarizers, embeddings) • Ensure compliance, model explainability, and security 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬: •

5–10 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 • 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧, PyTorch, TensorFlow, HuggingFace, LangChain • 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐀𝐖𝐒: - SageMaker (Pipelines, Ground Truth, JumpStart) - Amazon Bedrock / Claude / OpenAI - Lambda, S3, Step Functions, DynamoDB, EventBridge OpenSearch (KNN/ANN vector search) • Experience with LLMs, RAG architectures, vector search, LangChain • CI/CD using GitHub Actions, CodePipeline • Deployment with Docker, EKS, ECS, or Fargate • Exposure to EMR, AWS Glue, chatbot frameworks, React Send your resume to:

careers@sidinformation.com