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Analyst - Data & AI

MUFG Global Service Private Limited · MUFG Global Service Private Ltd. - Bengaluru (BCIT)

MUFG Global Service is hiring an Analyst - Data & AI to design, develop, test, and support data-driven and AI-enabled applications using Python, SQL, and AWS services.

What you will do

  • Build next-generation AI engineering frameworks, chat agents, and automation capabilities that accelerate software delivery.
  • Develop, test, and maintain Python-based application components, utilities, automation scripts, and data-processing services.
  • Write and optimize SQL queries for data extraction, validation, transformation, and reconciliation across relational databases.
  • Design, consume, and support REST APIs, including handling requests, authentication, validation, error handling, and logging.
  • Contribute to AI-enabled application development using AWS Bedrock, including model invocation, prompts, and guardrails.
  • Assist in building retrieval-augmented generation, knowledge-base, document-processing, and semantic-search capabilities.
  • Use AWS services such as Lambda, API Gateway, S3, RDS/Aurora, Step Functions, EventBridge, SQS, CloudWatch, IAM, and Bedrock.
  • Create unit and integration tests, participate in code reviews, troubleshoot defects, and follow CI/CD standards.
  • Provide production-support assistance by reviewing logs, analyzing issues, documenting findings, and escalating problems.

What you need

  • Bachelor's degree in Information Technology, Information Systems, Computer Science, Software Engineering, Data Science, or related field.
  • Approximately two to four years of hands-on software-development, data-engineering, or application-development experience.
  • Hands-on programming experience with Python, including functions, classes, exception handling, and automated testing.
  • Working knowledge of SQL and relational databases, including joins, aggregations, subqueries, and data validation.
  • Experience developing or integrating REST APIs and working with JSON-based request and response payloads.
  • Practical knowledge of AWS cloud services and serverless application patterns, with exposure to AWS Bedrock.
  • Understanding of Generative AI concepts such as prompts, tokens, embeddings, vector search, and RAG.
  • Familiarity with Git-based source control, code reviews, defect tracking, testing, and CI/CD concepts.

Good to have

  • Experience in the financial services or banking industry.
  • Experience using the AWS SDK for Python to integrate applications with AWS services.
  • Exposure to FastAPI, Flask, or a comparable Python API framework.
  • Exposure to PostgreSQL, SQL Server, Oracle, or Amazon Aurora.
  • Familiarity with vector databases or semantic-search technologies like Amazon OpenSearch or PostgreSQL with pgvector.
  • Exposure to Terraform or another infrastructure-as-code tool, containerization, and automated deployment pipelines.