Expert Ai/nlp/ml

Il y a 2 mois


Brussels, 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 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
- 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 k-NN,

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 D3.js, GGplot, etc.
- Experience in the field of corpus based linguistics
- Experience with alignment models and classification methods
- Experience with data analytics over big datasets, non-structured databases as

well as data lakes

**Benefits**:

- NET30 payment perms



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