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Job Description
DESCRIPTION OF THE TASKS
Avula Srivalli
Recruitment Coordinator
DESCRIPTION OF THE TASKS
- Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI)
- Design and optimize machine learning systems and deep learning architectures
- Collaborate with cross-functional teams to integrate AI/ML solutions into existing products or processes
- Design the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts Conduct data preprocessing, feature engineering, and model evaluation
- Stay up-to-date with the latest advancements in AI/ML technologies and algorithms Maintain AI deployed solutions on SaaS platforms (AWS, Azure)
- Document architecture blueprints and discuss business requirements
- The candidate will report to the Architect Office as well as to the different project managers for the projects in which she/he will engage. The Architecture Office applies the SAFe methodology and work activities get assigned as part of the sprint planning.
- Level of education corresponding to Level 7 of the European Qualification Framework which
- typically corresponds to a master’s level or 5 years of higher education.
- Ability to perform proof of concepts (PoC) efficiently and fast
- Ability to give business and technical presentations
- Ability to apply high quality standards
- Ability to cope with fast changing technologies used in cloud-based environments
- 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.
- English
- French
- Very good knowledge of Large Language Models (LLMs), Text embeddings, Tokenization and
- Vectorization, Machine and Deep Learning
- Very good knowledge and understanding of Python/Java/Containers (Docker/Kubernetes)/Cloud AI
- services (AWS, Azure)
- 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
- AWS Certified Machine Learning / Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Data Analytics / Microsoft Certified: Azure Data Scientist Associate
- AWS Certified Solutions Architect / Microsoft Certified: Azure Solutionms Architect Expert.
Avula Srivalli
Recruitment Coordinator
Key Skills
Ranked by relevance
machine learning
ai
natural language processing
aws
artificial intelligence
deep learning
cloud
saas
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- Posted
- Feb 23, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Brussels
- Company
- Sansaone
Industries
IT Services
IT Consulting
Categories
Other
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