Expert Ai/nlp/ml

il y a 2 semaines


Bruxelles, Région de Bruxelles, Belgique Kinsei Talent Temps plein
Language Processing (NLP), Machine Learning (ML), Deep Learning (DL)

and/or Artificial Intelligence (AI)

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

  • Work closely with data scientists and backend 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

  • 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

Requirements:

  • At least 10 years of experience.
  • Excellent knowledge of managing a MLOps infrastructure
  • Good knowledge of TensorFlow (TFX), Airflow, MLflow, Kubeflow or equivalents
  • Good knowledge of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy,
NLTK, scikit-learn, panda)

  • Good knowledge of machine learning techniques and algorithms, such as kNN,
Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial

intelligence frameworks

  • Good knowledge of the following: Data Management, AWS and/or Azure, Linux,
Unix and Bash

  • Good knowledge of natural language processing systems lifecycle and agile
software development methodologies

  • Good knowledge of quality assurance and quality control for machine translation
(MT) and experience with MT quality procedures, testing methodologies and

tools, such as automatic quality metrics (BLEU scores and similar) and human

evaluation of MT quality

  • Knowledge of query languages, such as SQL, Hive, Pig, etc and with
information extraction

  • Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, etc.
  • Knowledge of data visualization tools, such as , GGplot, etc.
  • Experience in the field of corpus based linguistics
  • Experience with alignment models and classification methods
  • Experience with data analytics over big datasets, nonstructured databases as
well as data lakes

Benefits:

  • NET30 payment perms

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