Data Scientist
Il y a 6 mois
**Your 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;
- Design CI/CD pipelines, use orchestration solutions and data versioning tools;
- Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master
- and meta-data management concepts;
- Creating automated anomaly detection systems and constant tracking of its performance;
- Provision of security studies, security assessments or other security matters associated with information system projects.
**Requirements**:
- University degree in IT or Data Management, combined with relevant professional experience of minimum of 13 years;
- Experience in languages like R, Python, PERL, Matlab, and its NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas );
- Excellent knowledge of managing a MLOps infrastructure;
- Good knowledge of TensorFlow (TFX), Airflow, MLflow, Kubeflow or equivalents;
- Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL, Cassandra, HBase);
- 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 Data Management;
- Good knowledge of AWS and/or Azure;
- Good knowledge of Linux, Unix and Bash;
- 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 data visualisation 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;
- Following certifications are considered an asset: AWS Certified Machine Learning, Microsoft Azure AI Engineer Associate, SAS Certified Professional AI and Machine Learning Certification;
- Excellent command of the English language, French would be an asset.
**Benefits**
If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference **(47351/02/24)**.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion.
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