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Financial Crime IT department is responsible for identifying, analysing and investigating financial crime risks, and ensuring that these risks are properly mitigated within HSBC. The aim of the project is to create a secure and scalable platform that utilises generative AI to automatically generate concise, accurate insights, empowering investigators to quickly assess relevant information, identify suspicious patterns, and accelerate investigations.
Job Responsibility:
Establish and maintain best practices for ML Ops. Including version control, CI/CD pipelines and the Vertex Al Model Registry and End Points
Implement MLOps tools to streamline model development, training, tuning, deployment, monitoring and explain
Deploy and Manage ML models on GCP's Vertex Al platform ensuring efficient and scalable execution
Identify and address performance bottleneck in ML models and pipelines
Troubleshoot and resolve ML issues ensuring optimal model performance and costs
Assist in feature engineering and selection to ensure model performance
Collaborate with infrastructure and DevOps teams to establish efficient deployment and scaling strategies
Build and maintain robust pipelines for model training, tuning and deployment leveraging components of Vertex Al and GCP tooling like Cloud Composer utilizing Python and Java and Big Query
Implement automated monitoring and alerting to track model performance and identify potential issues
Develop and maintain data quality checks and validation including reconciliations in-line with Data Quality and Retention Controls
Implement robust security measures to protect sensitive data and models
Requirements:
Strong proficiency in ML Ops principles and tools
Proficiency in data engineering and pipeline development
Experience with GCP including Big Query, Cloud Composer and Vertex Al
Strong problem-solving and analytical skills
Strong proficiency in Python
Nice to have:
Experience in front-end development using JavaScript, TypeScript and React
Experience in back-end development using Java & Spring
Knowledge of data analysis and data management concepts (ETL)
What we offer:
Competitive salary
Annual performance-based bonus
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
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