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.
We are looking for a skilled MLOps Engineer to join our team and play a pivotal role in driving innovative solutions. Experience with Software Engineering practices using React, Java & Spring would be a significant plus.
responsibilities :
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 GCPs 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-expected :
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.
offered :
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)
Corporate parties & events
CSR initiatives
Nursery discounts
Financial support with trainings and education
Social fund
Flexible working hours
Free parking
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
