Educational Requirements

- Bachelor of Engineering, BTech, BSc, BCA, MTech, MSc, MCA

Service Line

- Data Analytics Unit

Responsibilities

- AWS Bedrock Generative AI: Design and build GenAI solutions using AWS Bedrock and foundation models (FM) such as Amazon Titan, Anthropic Claude, etc.

- LLM-based applications: Implement LLM-based applications like chatbots, summarization engines, recommendation systems, and document intelligence

- Prompt engineering, fine-tuning, and model evaluation: Apply advanced prompt engineering, fine-tuning, and model evaluation techniques

- RAG pipelines: Design RAG (Retrieval-Augmented Generation) pipelines and integrate vector databases

- Python Development: Develop scalable backend systems using Python (FastAPI, Flask, Django)

- APIs and microservices: Build APIs and microservices to integrate AI/ML services into business applications

- Data preprocessing, automation, and orchestration: Write effective scripts for data preprocessing, automation, and orchestration

- AWS Cloud Architecture: Design cloud-native solutions using AWS services (Lambda, API Gateway, S3, EC2, IAM, CloudWatch, Step Functions)

- Security, scalability, and availability: Architect secure, scalable, and highly available systems

- Cost optimization and performance: Optimize cloud cost and performance

- Data privacy and compliance: Ensure data privacy and compliance for AI workloads





- Data AI Integration: Work with structured unstructured datasets for AI applications

- Data pipelines: Build pipelines to integrate external data sources with LLMs

- Vector search and semantic capabilities: Implement vector search, embeddings, and semantic search capabilities

- Collaboration Leadership: Collaborate with data scientists, ML engineers, product teams, and business stakeholders

- Leadership in design discussions: Lead design discussions and provide technical guidance to junior developers

- Agile/Scrum: Participate in Agile/Scrum development cycles

Additional Responsibilities

- Preferred Skills: Experience with LangChain, LlamaIndex, or similar frameworks

- Knowledge of vector databases (FAISS, Pinecone, Weaviate, OpenSearch)

- Exposure to Docker, Kubernetes, and containerization

- Understanding of ML lifecycle, MLOps, and model deployment

- Experience in big data or data engineering tools (Glue, Redshift, Spark)

Technical and Professional Requirements

- Primary skills: Technology- >Geographical Information System- >Spatial Databases- >SQL Server,Technology- >OpenSystem- >Python - OpenSystem

Preferred Skills

- Technology- >OpenSystem- >Python - OpenSystem- >Python

- Technology- >AI-Generative AI- >Generative AI - Basic- >closed models (aws bedrock)

📌 AWS Bedrock Developer+Python (Hyderabad)
🏢 Infosys
📍 Hyderabad