Expert in AI/ NLP/ ML - 4185

NATURE OF TASKS

• [Essential] Integration and maintenance of software applications or services in the field of Artificial Intelligence (AI) in different technologies such as Natural Language Processing (NLP), Machine Learning (ML), Information Extraction, Knowledge Graphs (KG) or Graph Data Science (GDS);
• [Essential] Market studies and technical evaluation of advanced commercial or open-source products or services in the above fields;
• Training of custom machine learning / deep learning models based on structured and unstructured data;
• Selecting features, building and optimizing classifiers using machine learning techniques;
• [Essential] Interact with policy officers, data stewards and other stakeholders to understand business and data needs, turn them into use cases, prototypes or statements of work and eventually support the solution acceptance process;
• Define data controls and implement actions to ensure data quality, integrity and performance Data mining using state-of-the-art methods;
• [Essential] Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts and security;
• Contributing to the analysis of data management vision, strategy and policy and derive the IT requirements;

SPECIFIC EXPERTISE AND TECHNOLOGIES

• Practical knowledge of Perl, Python, Matlab, R and their NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas…).
• Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
• Excellent knowledge of data management including data quality.
• Good knowledge of AWS, Azure or other cloud platforms.
• Good knowledge of machine learning systems lifecycle.
• Good knowledge of software development methodologies such as Agile or RUP.
• Practical knowledge of query languages, such as SQL, Hive, Pig, etc and with information extraction.
• Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4j, etc.
• Experience with data analytics over big datasets, non-structured databases as well as data lakes, including data visualisation tools (e.g. D3.js, knowledge graphs, etc.)
• Good knowledge of applied statistics, such as distributions, statistical testing, regression, etc.

CERTIFICATION AND/OR STANDARDS

Optional certifications:

• AWS Certified Machine Learning
• Microsoft Azure AI Engineer Associate SAS Certified Professional AI and Machine Learning Certification.

KNOWLEDGE AND (NON-TECHNICAL) SKILLS

• Ability to participate in multilingual meetings
• Ability to understand, speak and write in English, optionally French as an additional asset
• Excellent interpersonal and communication skills
• Ability to work in a team as well as autonomously
• Results-oriented mindset, focused on delivering
• Capability of integration in an international/multicultural environment, rapid self-starting capability, on multiple possibly large projects
• 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

EU-Nationality is mandatory for ALL our job openings
We can, also, take into consideration CVs, that acquire work permit in the location where the client is or the job should be performed

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”.