AWS Bedrock Developer-Terraform-Python

Job description

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). - Strong 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. - Strong 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 Professional 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