AI & DATA ENGINEER
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
AI & Data Engineer
Purpose of the Role
The AI & Data Engineer designs builds and operationalises advanced data and AI solutions within a regulated environment. The role supports transformation initiatives by enabling scalable analytics machine learning and LLM-based systems ensuring robustness performance and compliance throughout the AI lifecycle.
Key Responsibilities
Data Engineering & AI Development
Design and maintain data pipelines and data products for analytics and AI use cases.
Develop hybrid data architectures (on-premise / cloud).
Implement CI/CD automation testing frameworks and industrialised delivery processes.
Machine Learning & Advanced Analytics
Develop deploy and monitor machine learning models (e.g. fraud detection AML/KYC performance analytics).
Conduct experimentation and prototype evaluation using structured metrics.
Translate research into production-ready solutions and support code reviews.
AI & LLM Engineering
Build solutions for OCR document classification information extraction and retrieval-augmented generation (RAG).
Design prompt templates evaluation datasets and LLM interaction workflows.
Integrate modern AI platforms and tools into operational processes.
Architecture & MLOps
Integrate AI models into business systems via APIs microservices and orchestration layers.
Ensure secure production-grade deployments with monitoring versioning and governance.
Stakeholder Collaboration
Produce technical documentation and communicate insights to both technical and business stakeholders.
Support risk compliance and business teams to ensure responsible AI adoption.
Skills & Experience
Required
5 years of experience in data engineering data science or AI roles within regulated environments.
Strong expertise in Python SQL Git and modern data/AI tooling.
Experience designing large-scale data pipelines.
Solid knowledge of machine learning NLP vector search and model evaluation.
Experience with platforms such as Dataiku Snowflake or other big data environments.
Fluency in French and English.
Preferred
Experience with LLM frameworks prompt engineering and document-intelligence workflows.
Knowledge of OCR technologies (e.g. Tesseract OpenCV).
Exposure to MLOps/DevOps practices (CI/CD APIs containers).
Understanding of banking processes AML/KYC risk and regulatory frameworks.
Qualifications
Masters degree or higher in Computer Science Data Science Mathematics or related fields.
5 years of professional experience in data engineering data science or AI within regulated industries.
Relevant certifications (Dataiku Snowflake Python) are a plus.
Languages: Fluent French and English.
Company Industry
IT Services and IT Consulting
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
