Senior Machine Learning Engineer

Company Description

Arηs Group – part of Accenture – is a market leader in the management of complex IT projects and systems. Founded in Luxembourg in 2003, we have grown to encompass 12 entities worldwide, employing over 2,500 employees in Luxembourg, Belgium, Greece, Italy, Portugal and Bulgaria. With our focus on getting things done, we help our clients achieve their goals with best-of-breed solutions, superior execution and exceptional services. We offer bespoke software development, data science, infrastructure, digital trust and mobile development to government institutions at national and European level, telecom providers, and financial institutions, among others. Our bold company culture is built around working hard and playing hard, with a flat and agile structure that lends itself to efficiency and employee empowerment. We value our diverse workplace of close-knit teams and provide a place where everyone can be supported to learn and evolve.

Job Description

ARHS Group – part of Accenture is looking for a Senior Machine Learning Engineer for one of its clients in Brussels, a key player in the Financial Industry.

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.

Role & responsibilities

• 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 (e.g. 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 to integrate and deploy them in the production environment (e.g. 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 (i.e. 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.

Qualifications

Your profile

• Good knowledge of English. Knowledge of French or Dutch would be considered an asset
• Communication skills – oral & written
• Ability to deliver/Results driven
• Attention to detail/rigor
• Creativity & Innovation/Problem Solving
• Proactively invests time in continuous learning and knowledge improvement.
• Demonstrates awareness of efficiency and efficacy.
• Thinks out of the box outside existing processes and frameworks.
• Works with energy and empowerment to deliver great results and a large contribution to the company’s success
• Is constructive by being open to the changes and to other’s opinions, ideas and feedback
• Able to thrive in a hybrid work environment: 50% on site & 50% from home

Technical skills

• 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
• Knowledge of the following would be considered an asset
  • 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

Additional Information

Don’t hesitate! Join our team

What you’ll get:

An informal hierarchy and work environment:

Our open, flat structure supports a strong focus on communication and collaboration, enabling to respond quickly to market changes and customer requests.

An attractive salary package:

With an attractive salary and benefits package – including advantageous fringe benefits – you’ll be paid for what you love to do.

A strong corporate culture:

You’ll join a dynamic team of smart and ambitious people. From the way we hire to the way we relate to our clients – our values form the foundation of the way we work.

Learning & development opportunities:

We constantly invest in our people and are committed to providing individual development opportunities to help you continue to grow and stay happy and satisfied at work.

Exciting projects:

You’ll take ownership of various projects for both public and private clients: calling for creativity and innovation, at the cutting-edge of technology.

A rock-solid company:

With more than 200 customers, and 15% turnover growth in FY2022, you’ll join a business with a sustainable and growth-oriented plan.

But let’s talk about it face to face!

You have the qualities listed above? Please, send us your CV, which will be processed in full confidentiality.

You don’t have all the above requirements but own a great part of them? You can send us your CV too because we will give you the opportunity to grow with us.