Machine Learning Engineer at Unisystems

Ispra, Lombardy, Italy -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, Data Analytics, Data Visualization, Scripting, SQL, NoSQL, ETL, Business Intelligence, Statistical Computing, Predictive Modeling, Prescriptive Analytics, Sentiment Analysis, Web Application Architectures, DevOps, Unix

Industry

Information Technology & Services

Description

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: To analyse user needs and requirements To identify and propose alternative implementations to support user requirements To architect a final system solution To contribute to the implementation of the identified architecture. To devise quality, security and architectural plans and assist in their implementation 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

Responsibilities

The Machine Learning Engineer will develop new business by identifying profitable opportunities and maintaining client relationships. They will also monitor project progress to provide excellent client service and added value services.