Job Advert Details
Some careers shine brighter than others.
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.
Your career opportunity
Risk & Compliance technology design and deploy cutting edge technology to defend the bank and its customers from Sanctions Risk, Financial Crime Risk, Identity Threat, Unauthorised Trading and Market Abuse & Regulatory Sanctions, as well as supporting Enterprise Risk Management. We provide the systems that enable our global businesses to grow through data-driven, pro-active risk management.
Surveillance IT provides business controls over financial operations including trading and communications. We are investing in Machine Learning tools to improve detection and reduce false positives. We are seeking a highly skilled Machine Learning Operations Engineer to join our team and play a pivotal role in driving innovative solutions.
As a Senior Software Engineer (MLOps) you will collaborate closely with our team of Data Scientists to translate complex ML models into production solutions. You will be instrumental in building efficient and scalable Machine Learning pipelines on Google Cloud Platform while ensuring integration with our on-premises environments.
What you’ll do
- 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. Work Closely with Compliance Analytics data scientists to prepare and preprocess data for model training and evaluation.
- Assist in feature engineering and selection to ensure model performance.
- Develop techniques to visualize and explain model behavior ensuring model transparency and accountability in-line with PRA S51/23 guidelines.
- Collaborate with infrastructure and DevOps teams to establish efficient deployment and scaling strategies.
What you need to have to succeed in this role
- 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
- Experience with Java would be beneficial.
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)
- Corporate parties & events
- CSR initiatives
- Financial support with trainings and education
- Nursery discounts
- Social fund
- Flexible working hours
- Free parking
If your CV meets our criteria, you should expect the following steps in the recruitment process:
- Online behavioural test (for external candidates)
- Telephone screen (for external candidates)
- Job interview with the hiring manager
We are looking to hire as soon as possible so don’t wait and apply now!
You'll achieve more when you join HSBC.
We thank all interested candidates for their applications. We reserve the right to contact only selected candidates.
In case you would like to resign from participation in recruitment process or withdraw previously sent to us application, please email us at: krakow.recruitment@hsbc.com