At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Specialist to join our UniQue team.
What will you be doing in this role?
- Advise and assist in technology watch, evaluation studies, architectural considerations, applicable standards, solution patterns and best practices in following areas of expertise: Business Intelligence, Data Analytics, Artificial Intelligence.
- Design, development and deployment of AI-powered applications using Retrieval-Augmented Generation (RAG) and LLM-based architectures.
- Development of NLP pipelines for document processing, summarization, semantic search and conversational AI.
- Implementation of machine learning models (supervised / unsupervised) for recommendation systems, classification and prediction.
- Design and optimisation of data ingestion and transformation pipelines in cloud environments (Azure, Databricks, APIs).
- Data modelling, data analysis and preparation of datasets for machine learning and AI solutions.
- Integration of AI solutions with existing enterprise systems and data platforms.
- Contribution to the design of data lake architectures and ETL processes (Bronze/Silver/Gold layers).
- Development of analytics and reporting solutions (e.g. Power BI dashboards).
- Participation in technical working groups, progress meetings and meetings with the users.
- Assistance during relevant parts of testing, analysis, technical documentation, deployment, evaluation and reporting.
Requirements
What will you be bringing to the team?
- Bachelor's degree & 17 years of experience in IT OR Master's degree & 13 years of experience.
- At least 5 years of experience with data systems, information systems, or enterprise data environments.
- No less than 3 years of experience in in Business Intelligence (BI), analytics, or enterprise reporting.
- Minimum 2 years of experience with prompt engineering and optimization for Large Language Models (LLMs).
- Strong knowledge of enterprise architecture best practices and solution design patterns.
- Solid expertise in data modelling, data warehouse, and data lake architecture.
- Experience with data mining, data preparation for Machine Learning (ML) / Deep Learning (DL) algorithms.
- Practical experience applying Machine Learning and Deep Learning methodologies in real-world solution development, deployment, or optimization.
- Strong knowledge of Natural Language Processing (NLP) technologies and applications, including semantic search, conversational AI, and text analytics.
- Proficiency with modern data science, AI, and analytics tools, including Python, Jupyter Notebook, TensorFlow, PyTorch, Haystack, and etc.
- Hands-on experience in data engineering and large-scale data processing pipelines, including ETL, APIs, Azure Databricks, and Spark.
- Strong experience with Business Intelligence and reporting platforms, particularly PowerBI.
- Experience with Docker containerization, virtualization, and deployment technologies is considered an asset.
- Familiarity with project management and Agile/Scrum delivery methodologies is an asset.
- Proficiency in English language at C1 level.
- Proficiency in French at B1 level is an asset.
