Educational Requirements

BTech,BCA,BSc,MTech,MCA,MSc

Service Line

Data Analytics Unit

Responsibilities
59 years of experience in Python development and cloud engineering.
Hands-on experience with AWS Bedrock (LLMs, embeddings, APIs).
Terraform (Infrastructure as Code).
Solid knowledge of Generative AI concepts (LLMs, NLP, prompt engineering).
Experience building scalable APIs using FastAPI / Flask.
Experience with AWS services: Lambda, S3, EC2, API Gateway, IAM, CloudWatch.
Robust understanding of microservices architecture.
Experience implementing RAG pipelines and vector search.
Proficiency in REST APIs, JSON, and system integration.

Additional Responsibilities
Experience with LangChain, LlamaIndex, or similar frameworks.
Exposure to Kubernetes Docker.
Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).




Familiarity with MLOps tools (MLflow, SageMaker Pipelines).
Knowledge of multi-cloud environments (Azure OpenAI / GCP Vertex AI).
Experience with data engineering pipelines.
Understanding of Responsible AI / AI governance.

Technical and Skilled Requirements
Primary skills:Domain- >Banking- >Compliance Regulations- >Consumer Banking,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)
Technology- >Cloud Platform- >Terraform

📌 Aws Bedrock Developer Terraform Python Bengaluru
🏢 Infosys
📍 Bengaluru