AI/ML Engineering Lead/(Gen AI,Python,LLM,ETL)Associate Director

Pune, MH, IN, 411006

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics Specialist

Lead delivery of AI/ML engineering solutions on GCP, taking accountability for end-to-end outcomes from design through production support.

Own architecture and technical strategy for scalable, secure data/AI platforms (batch and streaming), aligned to HSBC engineering standards and controls.

Design and build robust data pipelines using GCP services (e.g., BigQuery, Dataflow/Beam, Airflow, Pub/Sub, Cloud Storage), optimising for performance, resilience, and cost.

Implement MLOps practices for the full model lifecycle: CI/CD, automated testing, repeatable training pipelines, deployment, monitoring, and rollback strategies.

Model evaluation: precision/recall/F1, ROC-AUC/PR-AUC, calibration, confusion matrix; cost-sensitive metrics.Establish and enforce engineering best practices (coding standards, code reviews, test coverage, documentation, observability, and operational readiness).

Embed security-by-design and compliance controls (IAM, encryption, secrets management, auditability, data privacy), partnering with Cyber Security and Risk as required.Ensure strong data quality, lineage, and governance (validation checks, metadata, access controls, retention), suitable for regulated banking environments.

Lead production operations for AI/data services: SLOs, alerting, incident management, root-cause analysis, and continuous service improvement. Partner with Product, Data Science, and business stakeholders to translate use cases into clear requirements, milestones, and measurable success metrics.

Define and implement engineering standards, governance frameworks and best practices across the organization. Ensure alignment with industry standards and regulatory requirements

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Issued by – HSBC Software Development India