Thaleria
Expert in AI/NLP/ML
ThaleriaBelgium22 hours ago
Full-timeRemote FriendlyOther
Tasks

  • 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

  • B2 level of English minimum. Any knowledge of French is an asset.
  • Excellent knowledge of managing an on-prem and/or cloud MLOps infrastructure.
  • Excellent knowledge 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)

Key Skills

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