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HybridSeniorai/ml infra

Associate Director, Data Science

Standard CharteredBengaluru, Karnataka, IndiaPosted 18 May 2026

This role at Standard Chartered focuses on building and maintaining a robust MLOps ecosystem to operationalize AI/ML models at scale. The successful candidate will drive data workflows using Python and PySpark while collaborating with cross-functional teams including Data Scientists and Enterprise Technology. The position requires end-to-end project ownership and ensuring compliance with strict model risk and governance standards. It is a senior-level position centered on data infrastructure and pipeline optimization.

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Experience

6-8 years

Function

Engineering

Work mode

Hybrid, India

Company

Tier 2

What you will work on

This role at Standard Chartered focuses on building and maintaining a robust MLOps ecosystem to operationalize AI/ML models at scale. The successful candidate will drive data workflows using Python and PySpark while collaborating with cross-functional teams including Data Scientists and Enterprise Technology. The position requires end-to-end project ownership and ensuring compliance with strict model risk and governance standards. It is a senior-level position centered on data infrastructure and pipeline optimization.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Solid tier-2 global bank role with clear MLOps ownership and cross-functional responsibilities.

Very clear scope regarding MLOps ecosystem development, stack, and cross-functional stakeholder collaboration.

Salaries at Standard Chartered

22.6 LPA average

Based on 90 Grapevine salary entries for Standard Chartered.

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4 - 6 years | L7

20 LPA average

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10 - 12 years | 8A

48 LPA average

Range: 48 - 48 LPA

Must haves

  • 6-8 years of overall work experience
  • Proficiency in Python and PySpark
  • Knowledge of Azure DevOps
  • Experience in warehousing and ETL processes
  • Understanding of machine learning concepts and lifecycle management

Tools and skills

pythonpysparkazure devopssqlmlopsetl

Nice to have: dataiku, databricks, aws, azure, gcp, llmops.

About the company

Global bank with established presence but not a top-tier tech-first engineering firm.

Posts mentioning Standard Chartered