Machine Learning Engineer

Sector: Our client is a prominent player in the financial sector, recognized for its comprehensive range of banking and financial services. With a global presence, it serves a diverse clientele, including individuals, corporations, and institutions. Emphasizing innovation and customer-centricity, it leverages advanced technologies to deliver tailored solutions that meet the evolving needs of its stakeholders.

Position Overview:  As a Devops \ Machine Learning Engineer you will need to build and manage the Data Science ecosystem and integrate models into the IT infrastructure of the bank.

What you'll do:

You will work to maintain and improve the workbench environment of the data scientists as well as monitor and deploy A&AI models. As part of your duties, you will have to work on the following:

- Assist data scientist in setting up project by helping them identify and install the correct dependencies in their environment, provide them with a basic project that comes with all the required tooling for code quality and continuous testing.

- Interface between data scientists and IT to bring new models to production and guarantee that all quality checks are met.

- Act in case of incident. Identify possible causes and dispatch requests to the appropriate squads. Communicate with project stakeholders on the status of those incidents and provide post mortem analysis.

- Explore new ways of combining the available tools of the bank to unlock new capabilities for data scientists to bring AI into the bank.

- Communicate the fruits of your work directly to the top management.

- Evolve in an environment where innovation and lean processes are praised, straight-forward communication is encouraged, and peers understand the meaning of team up.

- Work with a team of colleagues who are ready to collaborate and to share their experience.
What you bring:

You have at least 3 years of relevant experience and at least 1 year related to Data Science and Analytics.
Technical experience

Mandatory

Strong experience in Python !!
experience with http rest APIs
experience with Git (version control system).
Experience in MLOps / DevOps
Preferable

software testing.
Linux operating system experience
experience in containerization (Docker, Podman)
Business experience

preferable

Knowledge of the financial services industry