Expert in Ai/nlp/ml
Il y a 3 jours
Brussels, Belgique
The White Team
Temps plein
Gratuit avec email ou Google
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Gratuit avec email ou Google
Expert in AI/NLP/ML (Brussels, near-site)
- European Commission DESCRIPTION The IT department requires an Expert in AI/NLP/ML with strong experience in setting up and managing MLOps infrastructure for model development, deployment, testing, and monitoring. EU27 citizenship required. TASKS The external service provider will:
- Design, implement, and maintain a scalable, secure hybrid cloud MLOps infrastructure;
- Collaborate with data scientists and developers to build, test, and deploy models;
- Monitor performance, troubleshoot issues, and ensure system reliability;
- Design CI/CD pipelines and use orchestration and data versioning tools;
- Implement anomaly detection and optimize ML pipelines for scalability and efficiency;
- Define and coordinate IT architecture for AI/ML/NLP solutions;
- Conduct security assessments and support information system security;
- Provide guidance on MLOps best practices. LEVEL OF EDUCATION Master’s degree (5 years) in a relevant field, such as:
- NLP, Computer Science, or Computational Linguistics;
- Machine Translation or equivalent;
- IT/Engineering with specialisation in AI, MLOps, or Data Engineering. 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 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. CERTIFICATIONS (Optional)
- AWS Certified Machine Learning
- Microsoft Azure AI Engineer Associate SOFT SKILLS
- Experience in international and multicultural environments;
- Team-oriented with strong communication skills;
- Ability to work on multiple large projects;
- Fluent English (C1); French (C1) is an advantage;
- High level of discretion and integrity. LOCATION Remote (near-site), with availability to reach Brussels within 2 hours by land. RATE This position is offered on a contracting basis, and it pays between 430€-470€ per day.
- European Commission DESCRIPTION The IT department requires an Expert in AI/NLP/ML with strong experience in setting up and managing MLOps infrastructure for model development, deployment, testing, and monitoring. EU27 citizenship required. TASKS The external service provider will:
- Design, implement, and maintain a scalable, secure hybrid cloud MLOps infrastructure;
- Collaborate with data scientists and developers to build, test, and deploy models;
- Monitor performance, troubleshoot issues, and ensure system reliability;
- Design CI/CD pipelines and use orchestration and data versioning tools;
- Implement anomaly detection and optimize ML pipelines for scalability and efficiency;
- Define and coordinate IT architecture for AI/ML/NLP solutions;
- Conduct security assessments and support information system security;
- Provide guidance on MLOps best practices. LEVEL OF EDUCATION Master’s degree (5 years) in a relevant field, such as:
- NLP, Computer Science, or Computational Linguistics;
- Machine Translation or equivalent;
- IT/Engineering with specialisation in AI, MLOps, or Data Engineering. 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 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. CERTIFICATIONS (Optional)
- AWS Certified Machine Learning
- Microsoft Azure AI Engineer Associate SOFT SKILLS
- Experience in international and multicultural environments;
- Team-oriented with strong communication skills;
- Ability to work on multiple large projects;
- Fluent English (C1); French (C1) is an advantage;
- High level of discretion and integrity. LOCATION Remote (near-site), with availability to reach Brussels within 2 hours by land. RATE This position is offered on a contracting basis, and it pays between 430€-470€ per day.