А global digital transformation company with a team of more than 4,900 global players in 26 countries – in Europe, America and Asia, working together to put organizations at the forefront of innovation by bringing together talent, knowledge and technology.
Our approach is based on conscious technology, through which we create positive environments and meaningful opportunities, always in our own way, making the complex simple.
VASS BeNeLux, in partnership with the European Commission, is currently seeking an Expert Expert in AI / NLP / ML 27217 to work from the European Commission.
The role :
DESCRIPTION OF THE TASKS
Following tasks will be performed by external service provider :
- Design, implement and maintain a scalable, reliable and secure hybrid cloud ML Ops infrastructure
to deploy, test, manage and monitor ML models in different environments;
Development and maintenance of software applications in the field of Natural Language Processing(NLP), Machine Learning (ML), Deep Learning (DL) and / or Artificial Intelligence (AI);
Work closely with data scientists and back-end developers to build, test, integrate and deploy MLmodels;
Analyse performance metrics and troubleshoot issues to ensure high availability and reliability;Design CI / CD pipelines, use orchestration solutions and data versioning tools;Creating automated anomaly detection systems and constant tracking of its performance andoptimising ML pipelines for scalability, efficiency and cost-effectiveness.;
Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate itsimplementation considering master- and meta-data management concepts;
Provision of security studies, security assessments or other security matters associated withinformation system projects;
Provision of support and guidance to other team members on MLOps practices.KNOWLEDGE AND SKILLS
Following skills and knowledge are required for the performance of the above listed tasks :
Excellent knowledge of managing an on-prem and / or cloud MLOps infrastructure.Excellentknowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker,Podman, EKS, PKS) Good knowledge of MLflow, TensorFlow (TFX) or equivalents.
Good knowledge of AirflowGood knowledge of AWS and / or Azure.Good knowledge of Python.Good knowledge of Unix and Bash.Good knowledge agile software development methodologies.Good knowledge of infrastructure as code (Terraform, CloudFormation)Good knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ).Knowledge of data security measures (knowledge of encryption mechanisms and ML security isconsidered a plus).
Knowledge of NoSQL databases, such as Elasticsearch, MongoDB, Cassandra, HBase, etc.Knowledge of query languages, such as SQL, Hive, Pig, etc. and with information extraction.Experience with data analytics over big datasets, non-structured databases as well as data lakes.Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana,OpenTelemetry, Cloudwatch)
Experience with model testing and model validation in production environmentsAbility to write clear and structured technical documentationExcellent knowledge of on-prem or cloud solutions for data science applications.Ability to give business and technical presentations.Ability to apply high quality standards.Ability to cope with fast changing technologies.Very good communication skills with technical and non-technical audiences.Analysis and problem solving skills.Capability to write clear and structured technical documents.Ability to participate in technical meetings and good communication skills.Optional certifications :
AWS Certified Machine Learning.Microsoft Azure AI Engineer Associate.You have :
To have a master's degree
If you want to join a dynamic company where technological challenges will be found in your day to day we are waiting for you in the great VASS team.
And we encourage you to be the best version of yourself : Transformative, Creative, Honest, Vibrant!
At VASS we take action every day to achieve a favourable environment that facilitates and promotes equal opportunities, non-discrimination, diversity and inclusion of all people. We select our talent based on business needs, skills and merits. 🌟