Expert in AI/ NLP/ ML

We are looking for an AI/ NLP/ ML Expert to work for us in Ispra, Italy (relocation necessary)

Job Responsibilities

• Gathering business requirements and developing/customizing/deploying/maintaining/ improving software applications in the realms of data mining, Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI)
• Interacting with business analysts, customers, users, project leaders and developers; Collaborating with data stewards and other IT stakeholders to define data rules
• Training custom machine learning / deep learning models on structured and unstructured data
• Selecting features, building and optimizing classifiers using machine learning techniques
• Processing, cleansing, and verifying the integrity of data used for analysis
• Designing the IT architecture for solutions in the NLP / ML / AI fields, and coordinating its implementation considering master- and meta-data management concepts
• Analyzing data architecture for consistency, completeness, accuracy and reasonableness; proposing and implementing related improvements
• Contributing to the analysis of data management vision, strategy and policy and deriving the IT requirements
• Scripting and programming, and related testing and tuning
• Defining data controls and implementing/debugging/testing/recommending actions to ensure data quality and integrity, and for methodology improvement
• Creating automated anomaly detection systems and constantly tracking its performance
• Contributing to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc…)
• Writing the associated documentation with the tasks and liaising with other project teams as necessary to address cross-project interdependencies

Job Requirements

• Excellent and demonstrated knowledge in Python 3, package managers (PIP, Conda) and Jupyter. Knowledge of Perl, Python, Matlab, R is an advantage
• Exceptional and proven knowledge in Elasticsearch and good knowledge of the other Elastic Stack components (Kibana, Beats & Logstash)
• Exceptional and demonstrated knowledge of SQL tooling (RDBMS, NoSQL) and related query languages
• Comprehensive knowledge of Data Analytics techniques and tools over big datasets, non-structured databases as well as data lakes
• Knowledge of data visualization tools (such as D3.js, GGplot, etc.) and/or of business intelligence tools (e.g. PowerBI, Tableau, SAS, SAP, GoodData…)
• Knowledge of Data Management
• Proven knowledge in Data Engineering tasks (including, but not limited to building systems and pipelines, optimization of algorithms, definition of architectures and functional blocks aligned with software engineering best practices)
• Proven knowledge in Natural Language Processing (NLP), Neural Networks and Deep learning libraries, and Classic Learning (e.g. Pattern search, Clustering, Classifications) algorithms
• Proficiency in continuous code delivery and unit testing and agile software development methodologies
• Knowledge of architectural design and implementation of scalable modern data stores
• 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
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Ability to write, debug and verify code and results, to learn new approaches and technologies and to scout for new solutions efficiently and quickly
• Ability to deliver business and technical presentations
• Ability to apply high quality standards
• Ability to keep up with rapidly changing technologies used in the unit’s Data Science Pool
• Excellent communication skills with technical and non-technical audiences
• Analysis and problem solving skills
• Ability to write clear and structured technical documents
• Ability to participate in technical meetings and good communication skills
• Ability to understand, speak and write English (B2)

SPECIFIC EXPERTISE

• Specific expertise in Python 3 libraries for data management and AI (including, but not limited to, NumPy, SciPy, Pandas, Keras and TensorFlow)
• 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). Specific expertise in data modelling and performance tuning for analytical queries
• Specific expertise of AWS and/or Azure, Linux and Bash.

CERTIFICATIONS & STANDARDS:

Any of the following training, certificates and standards, will be advantageous for performing tasks:

• AWS Certified Machine Learning
• Microsoft Azure AI Engineer Associate
• SAS Certified Professional AI and Machine Learning Certification
  
  

Documents / procedures required to complete the hiring process:

• Copy of your university degree(s)
• Copy of your criminal record
• Security Clearance Procedure