Expert in AI/ NLP/ ML

DESCRIPTION OF THE TASKS

• 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.

KNOWLEDGE AND SKILLS

• Good knowledge of managing a MLOps / Big Data infrastructure.
• Experience with managing the full lifecycle of ML models.
• Good knowledge of application containerization, virtualization, orchestration.
• 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 apply high quality standards.
• 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.

Due to the particular nature of the client, candidates should also have the following non-technical skills:

• Capability of integration in an international/multicultural environment, rapid self-starting capability and experience in working in team;
• Ability to participate in multilingual meetings;
• Ability to work in multi-cultural environment, on multiple large projects;
• Excellent Team Player;
• Ability to understand, speak and write English C1, French CI will be an advantage;
• High degree of discretion and integrity

The following documents / procedures will be requested to successfully complete the hiring process :

• A copy of your university degree(s)
• A copy of your criminal record
• Security Clearance Procedure

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WHO ARE WE?

CRI Group belongs to VASS GROUP as of November 2021 (https://vasscompany.com/en/).

VASS is a leading digital solutions group of companies headquartered in Madrid, Spain, present in 25 countries in Europe, the Americas and Asia with more than 4,300 professionals.

VASS helps large companies in their digital transformation process, developing and executing the most innovative and scalable projects, from strategy to operations.

All our growth comes from our talented people, passion for innovation, and a constant search for improvement, always the VASS way: “Complex made simple”.