Associate Director, Data Science
This role within Standard Chartered Bank's AAIOps team focuses on building a state-of-the-art MLOps ecosystem for data and AI roles. You will lead the development of robust data pipelines using Python and PySpark while collaborating with cross-functional stakeholders to deliver scalable AI solutions. The position requires strong expertise in ML lifecycle management, MLOps best practices, and big data technologies. Success in this role involves transitioning from legacy systems to open-source technologies while maintaining high standards for governance and compliance.
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Experience
6-8 years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
This role within Standard Chartered Bank's AAIOps team focuses on building a state-of-the-art MLOps ecosystem for data and AI roles. You will lead the development of robust data pipelines using Python and PySpark while collaborating with cross-functional stakeholders to deliver scalable AI solutions. The position requires strong expertise in ML lifecycle management, MLOps best practices, and big data technologies. Success in this role involves transitioning from legacy systems to open-source technologies while maintaining high standards for governance and compliance.
TAL's take
Solid role at a major global bank with clear MLOps focus and leadership responsibilities.
Clear focus on MLOps and data ecosystem within a banking context, though slightly broad.
Must haves
- 6-8 years of relevant work experience
- Proficiency in Python and PySpark
- Experience in warehousing and ETL/ELT processes
- Understanding of machine learning lifecycle and deployment
- Knowledge of Azure DevOps
Tools and skills
Nice to have: databricks, dataiku, aws, azure, gcp, llmops.
About the company
Established global banking institution, though not a top-tier tech-native firm.
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