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

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

ExperisMettlach, DE
Vor 15 Tagen
Stellenbeschreibung

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