pAt 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. /ppIn 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. /ph3What will you be bringing to the team? /h3ulliCollect 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: /li /ulolliTo analyse user needs and requirements /liliTo identify and propose alternative implementations to support user requirements /liliTo architect a final system solution /liliTo contribute to the implementation of the identified architecture. /liliTo devise quality, security and architectural plans and assist in their implementation /li /olulliDevelop specifications and design of presentation interfaces with optimal usability/user experience; follow up with their implementation; /liliIdentify, collect, convert and update different data types/sets in several locations; /liliProduces data models according to specific problems statements; /liliScripting and programming; /liliContribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc…)



/liliWrite the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies. /li /ulh3What do you need to succeed in this position? /h3ulliMaster Degree + 3 years of relevant professional experience /liliAt least 3 years of experience in statistical computing and data visualization using R, SAS, SPSS, STATA or equivalent platforms. /liliAt least 2 years of experience in: ulliScripting and programming using Python and JavaScript. /liliDatabase architecture and query development, covering SQL and NoSQL technologies such as MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and Elasticsearch. /li /ul /liliAt least 1 year of experience in: ulliUsing Python to collect, clean, process and analyze structured and unstructured data, with libraries such as pandas and NumPy or equivalent tools. /liliApplying machine learning and natural language processing (NLP) to textual data for information extraction, document classification, clustering and semantic similarity, using tools such as spaCy, scikit-learn and Sentence Transformers or equivalent technologies. /liliUsing large language models (LLMs) for structured information extraction, classification and summarization, including prompt development and verification of outputs against source evidence. /liliAssessing data quality and validating analytical outputs, including comparison with human-reviewed examples, error analysis,



and documentation of uncertainty and limitations. /liliIdentifying trends and patterns, synthesizing information from multiple sources, and preparing analytical summaries, reports or briefs in English, with accurate referencing and clear presentation of findings. /liliExcellent knowledge of data analytics techniques and their mathematical foundations; basic knowledge of multivariate analysis and principal component analysis is desirable. /liliStrong background in machine learning and NLP. /liliDesirable expertise in one or more of the following: predictive modelling, forecasting, prescriptive analytics, simulation, sentiment analysis, topic detection, social media analytics, trend and anomaly detection, and recommendation systems. /liliProficiency in business intelligence, data visualization and ETL tools, such as SAP, BusinessObjects, Tableau and Talend Open Studio. /liliKnowledge of web application architectures, including HTML5, CSS3, APIs and backend technologies such as .NET/C#, Node.js/Express.js and Spring Boot/Java. /liliExperience with Unix environments and DevOps practices, including continuous integration and delivery, automated testing, containerization and orchestration, using tools such as GitLab and OpenShift. /liliGood oral and written communication skills in English. /li /ul /li /ulpAt Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality Inclusion Policy for more information. /p #J-18808-Ljbffr

📌 Data Scientist - AI and NLP (Ispra)
🏢 Uni Systems
📍 Ispra