Contratación en Luxemburgo de Directores de servicios de tecnología de la información y las comunicaciones

Your mission:

Our internal Central Data Office department is composed of technical and business data experts. Within this department, you will have the opportunity to improve your abilities while evolving within a dynamic environment and a young and multicultural team, working with the latest technologies.

We are currently looking for an AI Engineer for our Data FactoryTeam. In the Data Factory, BI developers, data architects, data scientists and data engineers operate large data volumes from multiple data formats on many different sources to collect, extract, transfer, analyze and serve insightful results to business stakeholders.

Be a part of our team where you will:  

    Manage R&D to align with AI strategy.

    Understand challenges and how AI can provide solutions.

    Lead teams to identify areas where AI can add significant business value.

    Build ETL and data processing pipelines using Azure cloud technologies (DataBricks, Data Factory, Function Apps…)

    Support the Data Science activities by porting models to production ready solutions (MLOps)

    Maintain clear and coherent communication, both verbal and written, to understand data needs and report results

    Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods

    Horizon scan to stay up to date with the latest technology, techniques and methods

    Conduct research from which you'll develop prototypes and proof of concepts

    Stay curious and enthusiastic about using algorithms to solve problems and demonstrate to others the benefit of your work.

    Maintain and enhance the existing products while anticipating issues and communicating with stakeholders

    Translate business requirements to technical specifications

    Ensure deliverables quality setting-up CI/CD, automated tests, business tests

    Document solutions architecture and insights.

    Collaborate on design, prototyping, testing, and defining support procedures.

Let's talk about you. If you have/are...

    Master's degree in big data, data science, statistics, econometrics, computer science, information systems, or a similar field.

    Demonstrable experience as AI Engineer, Data Engineer or Data Scientist (while also mastering ETL, data processing pipelines and database development).

    Proficiency in machine learning, neural networks, NLP, computer vision.

    Experience with programming languages like Python or R.

    Familiarity with AI frameworks such as TensorFlow, PyTorch, Keras.

    Proficiency in SQL (MS SQL preferred), knowledge of No-SQL.

    Knowledge of Linux, Kubernetes, bash scripting.

    Knowledge of data modeling, database design, and the data warehousing ecosystem.

    Experience with Cloud Computing (e.g. Azure), PaaS solutions (e.g. Spark, DataBricks).

    Experience with automated testing and CI/CD pipelines (Azure DevOps).

    Skilled at the ideation, design, and deployment of Data Engineering & Data Science solutions.

    Excellent analytical and problem-solving skills.

    The ability to work within a multidisciplinary and multicultural team.

    English speaking is required, French speaking is considered as an asset.