Expert in Ai/ Nlp/ Ml

We are on the lookout for an** Expert in AI/ NLP/ ML**to join our team for working with European Institutions based in**Brussels** in an **near site** position**.**

**Get to know us - SEIDOR**

At SEIDOR, we drive client transformation and competitiveness with cutting-edge technology and innovation, with a relentless focus on the human element and a commitment to nurturing talent and sustainable growth.

As a diverse and inclusive company that champions equal opportunity, we boast a team of over 8,000 professionals in our global presence across 45 countries in Europe, Latin America, the USA, the Middle East, Africa, and Asia.

We believe the digital world's challenges require not only the best technologies and partnerships but most importantly, the best people. That's where you come in - we need you to help us scale new heights.

For this position you would be working with our client from the European institutions. The Directorate General for Regional and Urban policy’s mission is to develop and pursue actions leading to the strengthening of the EU’s economic, social and territorial cohesion with the objective of promoting smart, sustainable and inclusive growth.
DG REGIO is responsible for the implementation of investment programs worth over 350 billion euros during the period 2021-2027.

**Your role**:

- 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;
- Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models;
- 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 and

optimising ML pipelines for scalability, efficiency and cost-effectiveness.;
- Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its

implementation considering master
- and meta-data management concepts;
- Provision of security studies, security assessments or other security matters associated with information system projects;
- Provision of support and guidance to other team members on MLOps practices.

**What’s in it for you?**

From day one, you’ll find opportunities for personal and professional development within a supportive team environment. We offer:

- A hybrid work schedule, blending in-office collaboration with the convenience of working from home.
- Continuous learning and development through SEIDOR Academy.
- A dynamic international workplace with diverse teams.
- A commitment to your well-being, work-life balance, and career growth.
- Rapid advancement opportunities in a short period of time.
- Engaging events and a comprehensive onboarding program.

At SEIDOR, your growth is our success, and we strive to make our workplace feel like home. Discover the nine core aspects of our culture that define us at SEIDOR:
**Who we think you are**:

- 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 Airflow
- Good 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 is considered 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 environments
- Ability to write clear and structured technical documentation
- Ability to give business and technical presentations.
- 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.