AI/NLP/ML Expert – Ispra, Italy

We currently have a vacancy for an AI/NLP/ML Expert fluent in English, to offer his/her services as an expert who will be based in Ispra, Italy. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site.

Your tasks:

Collection and business requirements and development /customisation/deployment/maintaining/ improvement of software applications in the field of data mining, Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI);

Training of custom machine learning / deep learning models based on structured and unstructured 2 data;

Selecting features, building and optimizing classifiers using machine learning techniques;

Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;

Scripting and programming, and related testing and tuning;

Creating automated anomaly detection systems and constant tracking of its performance;

Contributing to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions).

Requirements

Master’s degree in IT or relevant discipline, combined with minimum 5 years of relevant working experience in IT;

At least 3 years of specific expertise in Python 3 libraries for data management and AI (including, but not only limited to, NumPy, SciPy, Pandas, Keras and TensorFlow);

At least 3 years of specific expertise in RDBMS (e.g. Oracle DBMS, PostgreSQL or MySQL), NoSQL databases (at least ElasticSearch, MongoDB, Apache Solr), and either Graph Databases (at least Neo4j) or TripleStore Databases (at least OpenLink Virtuoso);

At least 3 years of specific expertise in data modelling and performance tuning for analytical queries;

At least 3 years of specific expertise of AWS and/or Azure, Linux and Bash;

At least 3 years of specific hand-on expertise of Large Language Model (LLM) product-based development;

Knowledge of data visualisation tools (such as D3.js, GGplot, etc.) and/or of business intelligence tools (e.g. PowerBI, Tableau, SAS, SAP, GoodData);

Knowledge in Natural Language Processing (NLP), Neural Networks and Deep learning libraries, and Classical Learning (e.g. Pattern search, Clustering, Classifications) algorithms;

Knowledge in at least three of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems;

Proficient in continuous code delivery and unit testing and agile software development methodologies;

Any of the following trainings, certificates and standards, will be considered an asset: AWS Certified Machine Learning, Microsoft Azure AI Engineer Associate, SAS Certified Professional AI and Machine Learning Certification and Generative AI Certification;