TheWhiteam
AI/ML/NLP Expert, Brussels – European Commission
TheWhiteamBelgium3 days ago
Full-timeAccounting/Auditing, Finance
Profile: Expert in AI/ML/NLP.

Studies required: Bachelor’s Degree in IT or a related field.

Language: English (C1) MANDATORY.

Location: Brussels.

DESCRIPTION:

We are seeking a senior AI/NLP/ML Expert with strong experience designing and operating MLOps infrastructures in on‑prem and cloud environments. The role requires proficiency in containerization/orchestration (Kubernetes, Docker), MLflow or TFX, Airflow, AWS/Azure, Python, Unix/Bash, and infrastructure‑as‑code tools. Solid knowledge of messaging systems, NoSQL and SQL technologies, big‑data analytics, and monitoring/logging frameworks is essential. The ideal candidate can validate and monitor ML models in production, produce clear documentation, apply high quality standards, and deliver both technical and business presentations. Relevant cloud ML certifications are a plus.

Knowledge and skills:

  • 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 Excellent knowledge of on-prem or cloud solutions for data science applications.
  • Ability to give business and technical presentations.
  • Ability to apply high quality standards.

Optional certifications:

  • AWS Certified Machine Learning.
  • Microsoft Azure AI Engineer Associate.

Language:

  • English (C1) MANDATORY.

Location:

  • Brussels.

Rate:

  • 424-444€/day.

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