Expert Ai/ml/nlp

Il y a 2 mois


Brussels, Belgique COSMOTE GLOBAL SOLUTIONS NV Temps plein

**COSMOTE Global Solutions**, as a member of **OTE Group of Companie**s**, is an ICT Systems Integrator delivering a broad range of ICT Solutions and Services.

**CGS** provides a broad range of ICT Services focusing on: Cloud, Data Centre operations, Networking, Cybersecurity, BI and Data Warehouse, Big Data, Service Desk, Proactive Monitoring, Operations and Support, Service Management, Project and Programme Management, and Professional Services.

**Responsibilities**:

- Architect, set up and manage an MLOps infrastructure;
- Manage the lifecycle of ML models, including version control, build automation, CI, testing, monitoring, automation, disaster recovery;
- Training of custom machine learning / deep learning models based on structured and unstructured data when the case;
- Selecting features, building and optimizing classifiers using machine learning techniques when the case;
- Studies and developments aiming at improving the quality of machine translation (MT) engines for each installed language pair;
- Define data controls and implement actions to ensure data quality and integrity;
- Creating automated anomaly detection systems and constant tracking of its performance;
- Processing, cleansing, and verifying the integrity of data used for analysis;
- Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master
- and meta-data management concepts;
- Analyse data architecture for consistency, completeness, accuracy and reasonableness;
- Provision of security studies, security assessments or other security matters associated with information system projects;
- Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements;
- Contributing to the design of the IT architecture considering master
- and meta-data management concepts.

**Requirements**:

- Bachelor degree in relevant field of interest
- Good knowledge of managing a MLOps / Big Data infrastructure.
- Experience with managing the full lifecycle of ML models.
- Good knowledge of TensorFlow (TFX), PyTorch, Kubeflow or equivalents.
- Good knowledge of AWS and/or Azure.
- Good knowledge of 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.
- 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.
- Very good knowledge of cloud solutions for datawarehouse, datalakes and business intelligence solutions.
- Ability to give business and technical presentations.
- Ability to cope with fast changing technologies.
- Very good communication skills with technical and non-technical audiences.
- Analysis and problem solving skills.
- Capability to write clear and structured technical documents.
- Ability to participate in technical meetings and good communication skills.



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