Expert in Ai/nlp/ml
Il y a 5 mois
DESCRIPTION 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 back-end 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, scikit-learn, pandas )
- 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
- 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 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
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 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
- 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
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