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Machine Learning Engineer (Wealth & Personal Banking IT, First Direct)

HSBC Service Delivery (Polska) Sp. z o.o.About the company

  • Kapelanka 42a, Kraków
    Kraków, Lesser Poland
  • Offer expired 20 days ago
  • Remote recruitment
  • Remote work
  • contract of employment
  • full-time
  • senior specialist (Senior)

HSBC Service Delivery (Polska) Sp. z o.o.

Kapelanka 42a

Kraków

Technologies we use

Expected

  • GCP

  • data technologies

  • Apache Hadoop

  • Spark

  • Airflow

  • Python

  • R

  • TensorFlow

  • Git

  • Jenkins

  • Teradata

  • SAS

  • JIRA

  • Confluence

About the project

Under the Digital First strategy, WPB UK is moving from a data-rich to data-driven organisation; the Data and Analytics department are central to this transformation. The department delivers data analytics, machine learning (ML) and management information which are used to measure, automate and improve the performance of the business. The department is at the centre of customer intelligence and marketing; using ML to communicate the right message, to the right customer, at the right time. In addition, the department is using ML to automate processes and deliver efficiencies in banking operations.

The Data and ML Engineer is responsible for providing engineering expertise in data, analytics and ML model development; supporting development of ML algorithms and improving analytics and ML pipelines. The Data and ML Engineer also builds and maintains the data model, data catalogue, data lineage and manages data quality for the organization. The Engineer ensures that everything is automated and instrumented, so that the analytics environment is controlled and governed is an efficient and effective way.

Your responsibilities

  • Assist in the implementation of ML algorithms and deploy them in the production environment.

  • Support, develop and monitor all steps in the end-to-end ML lifecycle, including provision of infrastructure and resource management, integration, testing, releasing, deployment and monitoring.

  • Ensure and improve the performance of the ML algorithms at scale.

  • Produce and manage code repository, artefact, documentation, user manual and backup.

  • Design and develop software to automate the building, testing and deployment of ML algorithms and analytics activities.

  • Perform continuous training of ML models to ensure models are performing as expected.

  • Support, develop and monitor the whole data analytics lifecycle, from data preparation to reporting.

  • Collaborate with data wranglers, data scientists, data engineers, model governors and data quality and governance managers to improve the ML and data analytics pipelines.

Our requirements

  • Bachelor’s or master’s degree in numerate subject, such as, mathematics, engineering or computer science.

  • Experience building cloud native solutions, such as data lakes and enterprise big data and analytics platforms, in particular using GCP.

  • Extensive experience of data technologies, including relational, dimensional, NoSQL data platforms plus metadata and data transformation tools.

  • Experience of open source technologies, such as Apache Hadoop, Spark, Airflow, Python, R, TensorFlow, Airflow, Git and Jenkins.

  • Experience and development of ML and analytic models.

  • Experience of automation, CI/CD, monitoring and logging platforms and solutions, especially cloud and open source.

  • Experience of managing and using traditional warehouse technologies (Teradata) and analytics platforms (SAS)

  • Experience working in large and complex organisations.

  • Experience of agile and agile lifecycle management tools, in particular JIRA and Confluence.

What we offer

We offer an inclusive, values-led culture, tailored learning and development programmes and competitive benefits.

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • remote work opportunities

  • flexible working time

  • integration events

  • corporate sports team

  • doctor’s duty hours in the office

  • retirement pension plan

  • corporate library

  • no dress code

  • video games at work

  • coffee / tea

  • parking space for employees

  • leisure zone

  • extra social benefits

  • employee referral program

  • opportunity to obtain permits and licenses

  • charity initiatives

  • family picnics

  • extra leave

Recruitment stages
1

Phone interview

2

Online assessment

3

Zoom interview

4

Welcome to HSBC!

HSBC Service Delivery (Polska) Sp. z o.o.

HSBC is one of the world’s largest banking and financial services organisations. Our global businesses serve more than 40 million customers worldwide through a network that covers 64 countries and territories.

HSBC Service Delivery (Polska) Sp. z o.o. is HSBC's global finance, operations, risk and technology centre. We use our unique expertise and capabilities to provide specialised services – our people range from technologists transforming the banking experience to operations professionals managing 1.7 trillion payments a year.

Our Purpose – Opening up a world of opportunity – explains why we exist. We are bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities and the planet we all share.

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