Job Responsibilities

·         Responsible for the design, development, maintenance of applications and systems as well as IT production and management of the Bank's technical infrastructures.

·         At the forefront of technological innovation, its teams provide technical and functional support for the development activities and projects of the various Corporate and Investment Banking professions in an international environment.

Design and development of AI/IA Generative models: Data preparation, feature engineering, training, evaluation, versioning, deployment and monitoring. Select the most appropriate models and techniques based on the available data and the objectives of the projects.
Establish MLOps / LLMOps infrastructure: Define and implement a robust MLOps architecture to ensure the full life cycle of AI and Generative AI models from design to production. Automate model development, deployment and monitoring processes.Ensure the quality, reliability and scalability of models in production.
 

Contribute to realisation of Rest API and development in Python, industrialisation of internal POCs and maintenance of embeddings. Ensure necessary documentation and support handover processes
Work closely with business teams and other project stakeholders  to understand their needs and translate their issues into scientific questions. Communicate the results of the analyses and recommendations in a clear and concise manner.
Coordinate with Cloud Centre of Excellence and Infrastructure teams to ensure project needs are addressed.
Travel: Occasional (specify)

Qualifications and Profile

Candidates should have:

·         Experience required 2 to 7 years  minimum in development of AI/ML technology solutions

·         expertise in machine learning, deep learning, generative AI and MLOps.

·         Knowledge of data management practices to clean, preprocess and transform data sets for model training

·         Mastery of AI algorithms and frameworks (e.g., Tensorflow, PyTorch, Scikit, etc.)

·         Knowledge of GEN AI and LLM technologies on the public Cloud using RAG patterns

·         Understanding the ethical principles to better generate embeddings for GenAI.

·         Expertise in Python, .NET or Java, DevOps / MLOps / LLMOps (GitLab CI/CD, Kubernetes, AWS Cloud, AWS Bedrock, AWS Sagemaker)

Other Professional Skills and Mindset

·         Excellent problem-solving and analytical skills.

·         Effective communication skills and ability to work collaboratively in a team.

·         Excellent Aptitude, Curious to learn and inquisitive.

·         Autonomous, self motivated and excellent team player.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

·         Computer Science

·         Information Technology

·         Programming & Systems Analysis

·         Science (Computer Studies)

Bachelor and above in relevant discipline