Expert in Ai/nlp/ml - Brussels, België - AlmavivA de Belgique

AlmavivA de Belgique

Geverifieerd bedrijf

Brussels, België

2 weken geleden

Geplaatst door:

Sophie Dubois

beBee Recruiter

Beschrijving

OF THE TASKS
Following tasks will be performed by external service provider:

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 backend 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 solutons 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

LEVEL OF EDUCATION

The minimum educational qualification corresponds to Level 7 of the European Qualification Framework which typically corresponds to a
master's degree of 5 years.

At least one of the following:

Advanced university degree in natural language processing (computer science or computational linguistics;
A specialisation in (statistical/neural) machine translation (MT), or equivalent experience;
University degree in IT / Computer Science / Engineering or equivalent with specialisation in artificial intelligence, ML operations or data engineering.

KNOWLEDGE AND SKILLS
Following skills and knowledge are required for the performance of the above listed tasks:

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, scikitlearn, pandas )
Good knowledge of machine learning techniques and algorithms, such as kNN, 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
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, such as MongoDB, Cassandra, HBase, etc
Knowledge of data visualisation tools, such as , GGplot, etc
Experience in the field of corpus based linguistics
Experience with alignment models and classification methods
Experience with data analytics over big datasets, nonstructured databases as well as data lakes

Optional certifications:

AWS Certified Machine Learning
Microsoft Azure AI Engineer Associate
SAS Certified Professional AI and Machine Learning Certification
Ability to give business and technical presentations
Ability to cope with fast changing technologies
Very good communication skills with technical and nontechnical audiences
Analysis and problem solving skills
Capability to write clear and structured technical documents
Ability to participate in technical meetings and good communication skills
Capability of integration in an international/multicultural environment, rapid selfstarting capability and experience in working in team
Ability to participate in multilingual meetings
Ability to work in multicultural environment, on multiple large projects
Excellent Team Player
Ability to understand, speak and write English C1, French CI will be an advantage