At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional Machine Learning Engineer to join our UniQue Ispra team.

In this role, you will have the opportunity to work closely with our customers in the public sector and you will be responsible for developing new business by identifying profitable opportunities, maintaining your client portfolio by building strong, long-lasting relationships, and monitoring the progress of the projects, with the aim to provide excellent client service and added value services.

What will you be bringing to the team?

• Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solutions, in detail:

• Develop specifications and design of presentation interfaces with optimal usability/user experience; follow up with their implementation;
• Identify, collect, convert and update different data types/sets in several locations;
• Produces data models according to specific problems statements;
• Scripting and programming;
• Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc...)
• Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
  
  
  

What do you need to succeed in this position?

• Master Degree+7 years of relevant experience
• At least 3 years of specific expertise in R or other platforms for statistical computing (e.g. R, SAS, SPSS, STATA) and data visualisation
• At least 2 years of specific expertise in scripting languages Python, Javascript
• At least 2 years of specific expertise in relational or non-relational database architecture and SQL query development
• Excellent knowledge of Data Analytics techniques and tools, including the underpinning mathematical concepts; a basic knowledge of multivariate data analysis and principal component analysis is also desirable.
• Strong background in Machine Learning and Natural Language Processing.
• Desirable expertise in one or more of the following: predictive modeling (forecasting, recommendation), prescriptive analytics (simulation), sentiment analysis, topic detection, social media data processing, trend/anomaly detection, and recommendation systems.
• Proficient in business intelligence and data visualization tools (e.g., SAP, Business Objects, Tableau).
• Skilled in ETL processes and tools (e.g., Talend Open Studio).
• Solid command of SQL and NoSQL databases (e.g., MongoDB, Hadoop, MySQL, PostgreSQL, MS SQL Server) and modern scalable data stores (e.g., Elasticsearch).
• Knowledge of web application architectures, including both frontend technologies (JavaScript, HTML5, CSS3, APIs for sync/async communication) and backend frameworks (Python, .NET/C#, Node.js/Express.js, Spring Boot/Java).
• Comfortable working in Unix environments.
• Experience with continuous integration/delivery, automated testing, containerization, and orchestration platforms, applying DevOps practices (e.g., GitLab, OpenShift).
• Good communication skills in English, both orally and in written form