Machine Learning Engineer - Remote - English speaking

(Machine Learning, DevOps, Dev Ops, Dev-Ops, Dev/Ops, CI/CD, AI)

One of our Blue Chip Clients is urgently looking for a Machine Learning Engineer.

For this role you can work remotely.

Please find some details below:

Description: Mission context

Machine Learning Engineers promote the adoption of best standards in industrial code development across the ML&AI community. They do so by developing ML pipelines that are production-ready by design or by integrating existing ML solutions into industrial pipelines.

They participate in the development, deployment and monitoring of AI services, which means they contribute to data quality checks, data flow design, the design of the models themselves and their overall integration into the production environment.

ML Engineers are meant to facilitate the communication between AI & Analytics teams and IT production with regards to the deployment of ML models, ensuring that models put in production are equipped with the appropriate data pipelines and monitoring. The candidate will be working with a team to develop the AI use cases like employee virtual assistant, client virtual assistant, and AI building blocks.

Function description

ML Engineers contribute to Machine Learning projects by:

- Working with the Data Scientists to define and develop the target solution with production constraints in mind. This allows to select the correct run infrastructure and serving model (eg data ingestion scheme, API synchronicity) to address the business requirements (Real Time responses, processing volumetry)

- Contributing to the automation of the different elements of the ML pipeline in order to integrate and deploy them in the production environment (eg building Docker/VM images, prepare unitary, regression and integration tests)

- Supporting Data Scientists on the usage of the existing industrial solutions available to build and monitor AI services (ie the CI/CD tools)

- Supporting IT Production on the parameterization of the target environment

- Ensuring that the model runs without errors, is retrained if needed (incl. automatically) and is monitored both from the IT and the business perspective.

Required skills/experience

Mandatory

- Containerization/virtualisation

- AI platforms & IDEs

- CI/CD (gitlab-ci)

- Code, model & data versioning

- Python

- Usage of package managing tools and experience in dependency management

- postgresql

- knowledge of agile methodology

- fluency in English

Preferable

- experience with integration using different technologies (distributes/Mainframe) and infra components

- Model compression techniques

- ELT/ETL tools

- Big data tools (Spark)

- Data flow processing

- Data visualization tools

- French or Dutch language

Please send CV for full details and immediate interviews. We are a preferred supplier to the client.