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