Uni Systems

ML Engineer – NLP, AI

Uni Systems

full-time

Posted on:

Location Type: Hybrid

Location: Brussels • 🇧🇪 Belgium

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Job Level

SeniorLead

Tech Stack

AirflowAWSAzureCassandraCloudDockerElasticSearchGrafanaHBaseKafkaKubernetesMongoDBNoSQLPrometheusPythonRabbitMQRedisSQLTensorflowTerraformUnix

About the 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.
  • 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 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.

Requirements

  • Master's degree in IT and minimum 15 years of relevant experience (or Bachelor's in IT and minimum 19 years of experience).
  • One of the following: University degree in NLP (computer science or computational linguistics), Specialisation in (statistical/neural) machine translation (MT), or University degree in IT / Computer Science / Engineering with specialisation in AI, ML operations or data engineering.
  • Strong experience managing on-prem and/or cloud-based MLOps infrastructure.
  • Hands-on experience with containerisation and orchestration tools (e.g. Kubernetes, Docker, Podman, EKS, PKS).
  • Proficient in MLflow, TensorFlow (TFX), and Airflow.
  • Solid experience with AWS and/or Azure.
  • Proficient in Python, Unix, and Bash scripting.
  • Experienced in handling large-scale, unstructured data and data lakes.
  • Familiar with monitoring/logging tools (e.g. ELK, Prometheus, Grafana, OpenTelemetry, CloudWatch).
  • Skilled in model testing and validation in production environments.
  • Good understanding of Agile development methodologies.
  • Experienced with Infrastructure as Code (Terraform, CloudFormation).
  • Knowledge of messaging platforms (Kafka, Redis, RabbitMQ).
  • Understanding of data security (encryption, ML security a plus).
  • Familiar with NoSQL databases (e.g. Elasticsearch, MongoDB, Cassandra, HBase).
  • Experience with query languages (SQL, Hive, Pig) and information extraction.
  • Excellent English (C-level, written and spoken).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Natural Language ProcessingMachine LearningDeep LearningArtificial IntelligenceMLOpsPythonUnixBash scriptingInfrastructure as CodeData engineering
Soft skills
team collaborationtroubleshootingperformance analysisguidancecommunication
Certifications
Master's degree in ITBachelor's degree in ITUniversity degree in NLPSpecialisation in machine translation