AI, BI and Data Analytics Solutions Engineer (m/f)

Experis IT Luxembourg is actively looking for a Senior AI, BI and Data Analytics Solutions Engineer (m/f) for one of its clients in Luxembourg.

Your responsibilities • Develop prototypes and data-centric solutions for various users using Data Analytics (DA) and Artificial Intelligence (AI). • Provide guidance, support, and training for AI and DA tasks for both technical and non-technical audiences (Modeling, Design, Architectural Reviews, AI initiatives, Standards, and Processes, Center of Expertise). • Prepare architectural outputs related to AI and DA (Reference Data Architecture, Data Platforms). • Collect and analyze business requirements. • Perform technical analyses and create specifications for AI and DA solutions. • Conduct exploratory data analyses to identify, interpret, and analyze patterns and trends in complex datasets for diagnosis and prediction. • Design, model, develop, manage, and review end-to-end DA and AI products, prototypes, and proof of concepts on both on-premise and cloud data platforms, including data preparation, feature engineering, model selection and training, visualization, deployment, monitoring, and maintenance. • Implement MLOps practices, including automated testing and quality assurance. • Define and document training and support procedures. • Maintain DA and AI products, including troubleshooting, bug fixing, performance analysis, and technical migrations. • Architect, design, deploy, and manage components of data platforms. • Integrate and reuse COTS, SaaS, PaaS, and SaaS solutions. • Design and implement data protection and security measures. • Define testing strategies, design tests, and conduct testing. • Establish best practices and standards. • Conduct technology watch, evaluate technologies, and contribute to platform definition and strategy documents.

Your profile • Bachelor's degree in Computer Science, Information Technology, or any related field. • Business analysis skills. • Strong analytical skills, capable of identifying patterns and gaps while exploring data. • Deep knowledge of statistical analysis and data-driven decision-making. • Extensive experience with Data Science and AI techniques, particularly in prediction, machine learning, and Generative AI. • Proficient in programming languages for data analytics and AI (e.g., Python, R) and frameworks (e.g., .NET AI, SpringAI). • Experienced in machine learning algorithms (e.g., ANN, random forest) and deep learning frameworks. • Skilled in developing reusable AI models (e.g., huggingface) and Generative AI APIs (e.g., OpenAI). • Experienced in the industrialization of DA and AI solutions. • Knowledgeable about MLOps tools, testing, and quality assurance. • Proficient with visualization tools (e.g., PowerBI). • Knowledgeable in SQL (e.g., Oracle, SQL Server) and No-SQL databases (e.g., MongoDB, Neo4j). • Experienced with orchestration tools (e.g., Airflow) and ETL tools (e.g., DBT, SSIS). • Familiar with search engines (e.g., ElasticSearch, SOLR). • Knowledgeable in data modeling for data lakes and data warehouses. • Experienced with cloud environments and containerization. • English fluency. Any other language would be an asset.

Client’s offer • Working alongside recognized experts. • Possibility of working partly from home. • An excellent training and a reputed expertise