Expert in AI/ NLP/ ML
il y a 2 semaines
If you want to join a dynamic company where technological challenges will be found in your day to day we are waiting for you in the great VASS team.
And we encourage you to be the best version of yourself: Transformative, Creative, Honest, Vibrant
At VASS we take action every day to achieve a favourable environment that facilitates and promotes equal opportunities, non-discrimination, diversity and inclusion of all people. We select our talent based on business needs, skills and merits.
Description of the job:
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);
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;
Prompt engineering on Large Language Models and validation of results with the business/policy officers.
Selecting features, building and optimizing classifiers using machine learning techniques;
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;
Design the IT architecture and hosting solutions and coordinate its implementation considering cloud technologies, containers, DevOps, master- and metadata management concepts and security;
Contributing to the analysis of data management vision, strategy and policy and derive the IT requirements.
Requirements
- Masters degree in Computer Science or related field.
- At least 8 years of specific expertise in practical knowledge of Perl, Python, Matlab, R and their NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas…).
- At least 8 years of specific expertise in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
- Excellent knowledge of Large Language Model prompt engineering.
- At least 5 years of specific expertise in data management and analytics, including data quality.
- Excellent knowledge of advanced data retrieval tools.
- At least 5 years of specific expertise in AWS, Azure or other cloud platforms.
- At least 5 years of specific expertise in machine learning systems lifecycle.
- At least 5 years of software development methodologies such as Agile or RUP.
- At least 7 years of specific expertise in query languages, such as SQL, Hive, Pig, etc and with information extraction.
- Practical knowledge of Python.
- At least 5 years of specific expertise in NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4j, etc.
- At least 5 years of specific expertise in data analytics over big datasets, non-structured databases as well as data lakes, including data visualisation tools (e.g. D3.js, knowledge graphs, etc.)
- At least 5 years of specific expertise in applied statistics, such as distributions, statistical testing, regression, etc.
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