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
